Przestań przeglądać portale z ofertami pracy. Niech Jared, Twój agent AI, zrobi to za Ciebie.

Chief Technology Officer Poland W Fast Forward Solutions specjalizujemy się w rekrutacji ekspertów dla klientów technologicznych. Jako doświadczony zespół, oferujemy wsparcie pracodawcom w poszukiwaniu najlepszych talentów oraz pomagamy kandydatom w budowaniu ekscytujących karier.Nasz klient to uznana firma z branży fintech działająca na dużą skalę w obszarze cyfrowych produktów konsumenckich, poszukująca doświadczonego CTO, który obejmie kluczową rolę w budowie strategii technologicznej oraz transformacji organizacji w kierunku AI-first. Rola łączy odpowiedzialność za architekturę, rozwój platformy, integracje partnerskie oraz zarządzanie organizacją inżynieryjną na poziomie ok. 40–50 specjalistów.🔸 Idealny kandydat/ka 🔸Szukamy osoby o bardzo mocnym fundamencie technologicznym, która łączy strategiczne myślenie z praktycznym, hands-on podejściem do inżynierii. Idealny kandydat to lider, który nie oddalił się od technologii mimo senioralnego poziomu stanowiska, potrafi wejść w szczegóły architektury, ocenić jakość rozwiązań i budować autorytet wśród zespołów technicznych dzięki realnym kompetencjom. Kluczowe będzie również doświadczenie we wdrażaniu rozwiązań AI w środowiskach produkcyjnych oraz umiejętność przekładania ich na mierzalną wartość biznesową. Poszukujemy osoby, która dobrze odnajduje się w dynamicznym środowisku digitalowym i potrafi skutecznie łączyć technologię, produkt i cele komercyjne.🔸 Kluczowe zakresy odpowiedzialności i zadania 🔸Osoba na tym stanowisku będzie odpowiadać za stworzenie i realizację lokalnej strategii technologicznej, ze szczególnym naciskiem na transformację AI jako główny filar rozwoju biznesu. Do jej zadań będzie należało rozwijanie nowoczesnej infrastruktury danych i systemów wspierających wdrożenia AI na poziomie produkcyjnym, a także identyfikowanie praktycznych zastosowań takich rozwiązań m.in. w personalizacji ofert, dynamicznym pricingu, lead scoringu, automatyzacji obsługi klienta czy zwiększaniu produktywności zespołów. CTO będzie również odpowiadać za decyzje architektoniczne wspierające rozwój platformy, skalowalność i niezawodność kluczowych funkcji biznesowych. Ważną częścią roli będzie rozwój integracji z partnerami, standaryzacja połączeń API, poprawa niezawodności oraz tworzenie rozwiązań zwiększających wartość platformy dla partnerów biznesowych. Stanowisko obejmuje także budowę i rozwój organizacji inżynieryjnej, ustanawianie standardów technologicznych oraz ścisłą współpracę z zarządem, produktem i biznesem przy priorytetyzacji inwestycji technologicznych.🔸 Twój profil 🔸Kilkuletnie doświadczenie na stanowisku CTO, VP Engineering, Head of Engineering lub w porównywalnej roli liderskiejBardzo mocne kompetencje techniczne i hands-on podejście do architektury oraz rozwoju oprogramowaniaDoświadczenie w pracy z platformami consumer internet o dużym ruchu, np. e-commerce, marketplace, fintech, comparison platformsPraktyczne doświadczenie we wdrażaniu AI w środowisku produkcyjnymZnajomość nowoczesnych rozwiązań AI, w tym LLMs, RAG, vector databases, fine-tuning, AI agentsUmiejętność podejmowania decyzji build / buy / partner w obszarze technologii i AIDoświadczenie w budowie i zarządzaniu zespołami inżynieryjnymiZnajomość dobrych praktyk w obszarze CI/CD, platform engineering, security-by-design i governance technologicznegoUmiejętność łączenia perspektywy technologicznej z celami biznesowymi i przychodowymiUdokumentowane doświadczenie w branży fintech, financial services, dużej skali e-commerce lub porównywarkach internetowych🔸 Dlaczego warto dołączyć do naszego Klienta? 🔸To wyjątkowa okazja, by objąć jedną z najważniejszych ról technologicznych w organizacji, dla której AI jest realnym priorytetem strategicznym, a nie jedynie eksperymentem. Nowa osoba będzie miała duży wpływ na kierunek rozwoju technologii, architektury oraz całej organizacji inżynieryjnej, współtworząc rozwiązania o bezpośrednim przełożeniu na biznes i doświadczenie użytkownika. Rola daje przestrzeń do prowadzenia ambitnej transformacji technologicznej, budowania przewagi konkurencyjnej oraz pracy blisko zarządu i kluczowych interesariuszy.🔸 Oferta 🔸Wynagrodzenie: 40 000 – 50 000 PLN netto + VAT / miesiąc (B2B) + bonus rocznyKluczowa, strategiczna rola z dużym wpływem na rozwój organizacjiMożliwość prowadzenia transformacji AI i wdrażania nowoczesnych rozwiązań na dużą skalęWspółpraca z dojrzałą organizacją technologiczną i biznesowąPraca z senior leadershipem oraz realny wpływ na decyzje produktowe i komercyjneForma współpracy B2BDodatkowe benefity oraz model pracy do ustalenia na dalszym etapie procesuSkontaktujemy się tylko z wybranymi kandydatami, których CV będzie jasno wskazywało poszukiwane przez nas umiejętności i kompetencje.Proces rekrutacyjny będzie się składał z weryfikacji CV, 45-minutowej wideo rozmowy kwalifikacyjnej z FFS, spotkania online z klientem, a następnie ponownego spotkania z klientem i testów rekrutacyjnych.Więcej o nas https://ffsolutions.pl Powered by

We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration.Your role:As a Principal Product Engineer, you will work at the intersection of engineering, product discovery, and product delivery. Your main focus will be on CKEditor, starting with the editor and frontend experience, and extending to supporting backend services and AI where relevant. You will also contribute to other CKSource products, with a stronger emphasis on frontend components and shared building blocks.Your primary mission is to identify high-leverage opportunities, rapidly prototype solutions, and evolve the best experiments into production-ready capabilities.You will collaborate closely with engineering leaders, product managers, and domain experts to shape product direction. You will also work with teams across the editor/frontend, cloud services, and integrations to ship end-to-end features.This role requires a builder mindset and comfort operating in ambiguity. It is a high-autonomy individual contributor position where you influence product direction across CKEditor and CKSource. You will also help teams adopt AI-assisted development in their daily workflows.Key responsibilities:Solve high-impact problems across CKEditor and CKSource products, spotting where AI or automation can add value.Work with product and engineering stakeholders to clarify goals, scope, and success metrics.Design pragmatic end-to-end solutions across the editor, backend services, and other portfolio products.Prototype quickly, iterate with feedback, and evolve the best ideas into production features.Build integrations and platform patterns (APIs, workflows, ecosystems) that extend product capabilities.Influence technical direction and best practices across teams, helping others adopt new tools effectively.Drive adoption of AI-assisted development (agents, reviews, testing, ops) to improve how we build and ship software. To be successful in this role you need the following:8+ years of experience in software engineering.Strong system design and frontend engineering skills, with hands-on experience in modern frontend technologies (JavaScript / TypeScript).Ability to move from problem definition → architecture → implementation.Experience with automation, workflows, or agent-like systems.Hands-on approach and willingness to write production code.Fluency in Polish and English (minimum C1 level).Strong engineering judgment (including knowing when not to use AI).Experience working across teams and influencing technical decisions. Ability to collaborate effectively with different groups.Curiosity, ownership, and a strong interest in applying AI in practice.Experience with AI in developer tooling or internal systems.Nice to have:Experience working on complex frontend applications or with developer tools.Experience with rich text editors, document systems, or collaborative editing tools.Background in content platforms, developer tools, or productivity software.Why join CKSource:Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include:B2B contract-based monthly remuneration is 38.000 - 45.000 PLN + VAT or its equivalent on the employment contract.Flexible schedule and the possibility to work fully remotely.Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly).LinkedIn Learning access.Extra leave for Tiugo Day – our company’s foundation day and your birthday.English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German.Access to a mental health and well-being platform with 24/7 dedicated psychological support.Private medical care (Enel Med or Medicover) and Multisport card.2 weeks of paid parental leave for our contractors.Recruitment process:HR interview.Technical interview with the Director of Engineering.Paid task – a practical assignment reflecting real challenges you may encounter in this role.Solution review discussion – a conversation about your approach, decisions, and trade-offs in the task.

Automotive4SeniorSoftware EngineeringJavaSpringReactAWSTomcatGrape Up is a consulting and technology company helping enterprises build mission-critical applications by leveraging AI, cloud-native technologies, and modern software delivery practices.We’re looking for an experienced engineer to join a senior, dedicated team providing production support and evolution for a major automotive OEM’s connected-vehicle platform – a portfolio of web applications and microservices covering telematics, subscriptions, payments, and remote services. You’ll resolve real production issues, then use what you learn to make the platform measurably better: refactoring, breaking down legacy monolithic pieces, modernizing the stack, and raising the bar on observability and automation.What to expect from this role We work in a shifted schedule (10:00–18:00), which allows the team to better align with global client time zones and ensure solid coverage for production operations. We’re looking for someone who’s comfortable with, or prefers this setup. Own the full incident lifecycle for live production services – triage, resolve, and run root-cause analysis on high-severity (P1/P2) incidents so they don’t come back Write permanent fixes, hotfixes and patches in a modern Java 21 / Spring codebase, not just workarounds Identify and drive technical improvements, harden reliability and performance Level up observability and automation: add the missing logs, metrics and traces, build self-healing and alert-noise reduction, and automate the toil out of operations Handle system lifecycle work – framework/library upgrades, security patching, vulnerability remediation, End-of-Life monitoring 3+ years of experience building and/or supporting backend applications on the JVM, with strong Java and Spring Experience operating microservices and web applications in production, including troubleshooting live issues Working knowledge of AWS and CI/CD pipelines Hands-on experience with observability tooling (logs, metrics, traces) and production monitoring Solid Git skills and understanding of security-and-compliance practices Excellent command of English and Polish (all communication, reports and documentation are in English) Analytical thinking and strong problem-solving skills Comfort with a shifted work schedule (10:00–18:00) and openness to occasional international business travel Experience supporting automotive OEM or connected-vehicle platforms Familiarity with application servers such as Tomcat Experience in production-support / on-call / SRE-style roles and incident management Familiarity with ServiceNow, JIRA and Confluence in an operational context Comfortable working across the stack – primarily Java/Spring backend, with some React Native mobile support Experience with certificate/secrets management and disaster-recovery testing Białystok | Kraków | Wrocław | Remote 17 300 - 22 000 PLN net (B2B) apply nowEmployee referralKnowledge platformsEquipmentIntegration activitiesLunch & LearnIn-house Tech UpLanguage lessonsConferences & trainingDevelopment planFeedback sessionsBusiness travel opportunitiesSend us your CV through the application form.Let’s talk about your experience and expectations.Learn more about the project you could be involved in.We’re excited to welcome you onboard! Let’s discuss the details.If you’re not lucky this time, we’ll tell you what you can improve to join us in the future.

Engineering Director Poland W Fast Forward Solutions specjalizujemy się w rekrutacji ekspertów z dziedziny sprzedaży, marketingu oraz technologii dla klientów z sektora nowych technologii. Jako doświadczony zespół oferujemy pracodawcom wsparcie w pozyskiwaniu najlepszych talentów, a kandydatom pomagamy w budowaniu ekscytujących karier.Nasz klient to jedna z najbardziej rozpoznawalnych polskich firm technologicznych, rozwijająca platformę SaaS. Organizacja poszukuje doświadczonego Engineering Directora, który przejmie odpowiedzialność za ludzi, strukturę oraz delivery w organizacji inżynierskiej liczącej około 50 osób i obejmującej osiem zespołów.To rola liderska skoncentrowana na budowaniu zdrowej, stabilnej i przewidywalnej organizacji inżynierskiej. Odpowiedzialność za strategię technologiczną, architekturę, stack oraz standardy techniczne pozostaje po stronie CTO, natomiast Engineering Director będzie właścicielem obszarów people leadership, zarządzania, rekrutacji, struktury zespołów oraz skutecznego dostarczania oprogramowania.Rola raportuje bezpośrednio do CPO, będącego członkiem zarządu, i współpracuje partnersko z CTO oraz Product Leadem. Wraz ze skalowaniem organizacji stanowisko może rozwinąć się w kierunku Head of Engineering lub VP of Engineering.🔸 Idealny kandydat/ka 🔸Szukamy dojrzałego lidera lub liderki, który ma doświadczenie w zarządzaniu wielozespołową organizacją inżynierską poprzez Engineering Managerów i Team Leadów. Idealna osoba potrafi połączyć empatyczne przywództwo z wysokimi wymaganiami wobec jakości zarządzania i delivery.Kandydat powinien umieć wejść do istniejącej organizacji po wymagającym okresie, odbudować zaufanie, ustabilizować warstwę liderską i stworzyć przejrzyste zasady współpracy. Kluczowe będą obecność, spokój, transparentna komunikacja oraz zdolność budowania autorytetu poprzez zaufanie, a nie stanowisko.Nie jest to rola dla osoby, która chce samodzielnie decydować o architekturze lub pełnić funkcję głównego technologa. Poszukujemy lidera odpowiedzialnego za ludzi i dowożenie, który posiada wystarczającą wiarygodność techniczną, aby rozumieć wyzwania zespołów i prowadzić partnerską dyskusję z CTO, ale nie ma potrzeby przejmowania odpowiedzialności za technologię.🔸 Kluczowe zakresy odpowiedzialności i zadania 🔸Zarządzanie organizacją inżynierską liczącą około 50 osób, działającą w ośmiu zespołach.Bezpośrednie zarządzanie Engineering Managerami, Team Leadami oraz innymi kluczowymi liderami organizacji.Budowanie i rozwijanie warstwy menedżerskiej, w tym prowadzenie regularnych spotkań 1:1, ocen okresowych, rozmów rozwojowych i sukcesji.Odbudowa zaufania, stabilności oraz zaangażowania zespołów po wymagającym okresie organizacyjnym.Zapewnienie przewidywalnego delivery oraz zwiększanie tempa i jakości dostarczania oprogramowania.Usprawnianie planowania, priorytetyzacji, koordynacji międzyzespołowej i procesów wytwórczych.Wprowadzanie oraz rozwijanie dobrych praktyk związanych z obsługą incydentów, post-mortemami i ciągłym doskonaleniem.Projektowanie struktury organizacyjnej oraz podejmowanie decyzji dotyczących składu i zakresu odpowiedzialności poszczególnych zespołów.Odpowiedzialność za rekrutację techniczną: identyfikowanie potrzeb, sourcing, prowadzenie procesu oraz podejmowanie decyzji o zatrudnieniu.Budowanie wysokiego poziomu talent density poprzez skuteczne zatrudnianie, rozwój i retencję najlepszych osób.Tworzenie ścieżek kariery i awansów, w tym technicznej ścieżki rozwoju dla individual contributors, we współpracy z CTO.Planowanie budżetu oraz headcountu organizacji inżynierskiej, we współpracy z CPO.Monitorowanie zdrowia organizacji poprzez wskaźniki takie jak eNPS, retencja, satysfakcja, produktywność oraz przewidywalność delivery.Wspieranie transformacji organizacji w kierunku AI-native oraz tworzenie warunków, w których zespoły mogą wykorzystywać AI do szybszej i mądrzejszej pracy.Wypracowanie i utrzymywanie jasnego podziału odpowiedzialności pomiędzy Engineering Directorem, CTO, CPO oraz Product Leadem.🔸 Twój profil 🔸Udokumentowane doświadczenie w zarządzaniu organizacją inżynierską liczącą kilkadziesiąt osób i obejmującą wiele zespołów.Doświadczenie w modelu management of managers, obejmujące zarządzanie Engineering Managerami lub Team Leadami.Praktyczne doświadczenie w budowaniu i rozwijaniu warstwy liderskiej organizacji.Silne kompetencje w obszarze people leadership, rozwoju pracowników, ocen okresowych, trudnych rozmów, retencji oraz zarządzania efektywnością.Doświadczenie w zwiększaniu przewidywalności delivery i usprawnianiu procesów wytwarzania oprogramowania w wielu zespołach jednocześnie.Doświadczenie w prowadzeniu rekrutacji technicznej na większą skalę.Umiejętność projektowania struktur zespołów oraz planowania zatrudnienia i budżetu.Doświadczenie zdobyte w organizacji produktowej, SaaS lub środowisku scale-up.Komfort pracy w modelu, w którym odpowiedzialność za technologię pozostaje po stronie CTO, a za produkt po stronie CPO i Product Leada.Techniczna wiarygodność pozwalająca rozumieć wyzwania inżynierskie i prowadzić merytoryczną współpracę z CTO oraz zespołami.Dojrzałość zarządcza, empatia, stabilność emocjonalna i umiejętność działania w wymagającym, zmieniającym się otoczeniu.Bardzo dobre umiejętności komunikacyjne i zdolność budowania autorytetu poprzez zaufanie.Dodatkowym atutem będzie:Doświadczenie w turnaroundzie lub odbudowie organizacji po trudnym okresie zarządczym.Doświadczenie w skalowaniu organizacji inżynierskiej z około 50 do ponad 100 osób.Znajomość środowiska e-commerce, SaaS lub płatności.Doświadczenie z systemami monolitycznymi lub technologiami opartymi na PHP.Doświadczenie w obszarze Developer Experience lub współpracy z zespołami platformowymi.Praktyczna znajomość wykorzystania AI w procesach tworzenia oprogramowania i zarządzania organizacją inżynierską.🔸 Dlaczego warto dołączyć do naszego Klienta? 🔸To możliwość objęcia kluczowej roli w dojrzałej firmie produktowej, której rozwiązania wspierają rozwój tysięcy biznesów działających w e-commerce. Kandydat otrzyma realny wpływ na sposób funkcjonowania całej organizacji inżynierskiej, jej strukturę, kulturę, procesy oraz dalszy rozwój.Nie jest to budowanie organizacji od zera. Zespoły, produkt i kompetencje techniczne już istnieją, a fundamenty zostały uporządkowane przez osobę pełniącą obecnie tę funkcję w formule interim. Zadaniem nowego lidera będzie przejęcie organizacji, odbudowanie pełnego zaufania, ustabilizowanie procesów oraz przygotowanie jej do kolejnego etapu skalowania.Rola daje możliwość bliskiej współpracy z zarządem, silnym CTO i Product Leadem, przy jednoczesnym zachowaniu jasno określonego zakresu odpowiedzialności. W perspektywie rozwoju organizacji stanowisko może ewoluować w kierunku Head of Engineering lub VP of Engineering.🔸 Oferta 🔸Wynagrodzenie: 35 000–45 000 PLN miesięcznie, zależnie od doświadczenia, kompetencji oraz uzgodnionej formy współpracy.Współpraca w pełnym wymiarze czasu.Elastyczny model pracy z możliwością pracy zdalnej lub hybrydowej, zależnie od ustaleń.Kluczowa rola raportująca bezpośrednio do CPO, będącego członkiem zarządu.Odpowiedzialność za organizację obejmującą około 50 osób i osiem zespołów.Realny wpływ na strukturę, procesy, headcount, budżet oraz kulturę organizacji inżynierskiej.Partnerska współpraca z CTO oraz Product Leadem przy jasno rozdzielonych zakresach odpowiedzialności.Możliwość budowania organizacji wykorzystującej AI do zwiększania jakości i szybkości pracy zespołów.Potencjał rozwoju stanowiska do poziomu Head of Engineering lub VP of Engineering.Możliwość zaplanowania budżetu i struktury organizacji na kolejny rok.Skontaktujemy się tylko z wybranymi kandydatami, których CV będzie jasno wskazywało poszukiwane przez nas umiejętności i kompetencje.Proces rekrutacyjny będzie się składał z weryfikacji CV, 45-minutowej wideorozmowy kwalifikacyjnej, spotkania online z klientem, a następnie ponownego spotkania z klientem.Więcej o nas: https://ffsolutions.pl Powered by

Location: Warsaw, Poland — Onsite (4 days on-site) Contract: B2B · 30–42 k PLN net / month + RSUs   The AI-powered OS for beauty, wellness and self-care Fresha is the operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Marketplace + SaaS platform + Fintech   Fresha is the leading AI operating system trusted by millions of consumers and businesses worldwide. Fresha is used by 130,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. Empowering businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services. Role Overview Given our exciting and progressive growth plans, we are looking for an exceptional hands-on Team Lead to join our global business. Reporting directly to the Head of Engineering, and collaborating closely with the Product Manager and Staff Engineer, you will be accountable for the technical vision, strategy, planning and coordination of engineering projects at Fresha while proactively managing technical risks. Team Lead is accountable for the team performance (e.g. ensuring processes are followed, estimates are reliable, communication is proactive, the code is well-architected) and a line manager for their team members. This position offers an excellent opportunity for someone who thrives in a fast-paced and changing environment, enjoys working autonomously, relishes challenges, and seeks to make a significant impact. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our office four days per week, with the flexibility to work remotely on Wednesdays. Warsaw office: 20th Floor, Aleje Jerozolimskie 81, 02-001 Warsaw, Poland Team Management and Support Set ambitious yet achievable goals for the engineering team, maintaining high-tech standards and objectives. Ensure the team has a clear understanding of their responsibilities and expectations. Mentor and provide technical guidance, drawing from your deep system design and coding expertise. Facilitate continuous learning and improvement for your team. Make sure your team follows our engineering practices by leading from the front. Recognising and making trade-offs with respect to the whole system. Priorities and Process Collaborate with team members to identify and address process inefficiencies by leveraging your experience in making architectural and design decisions. Ensure the timely delivery of your team’s projects, which will ultimately have a tangible impact on Fresha’s success. Actively contributing code, fixing bugs, and resolving issues to help drive the team's progress You understand deeply the entire architecture for a major part of the business and you’re able to articulate clearly the scaling and reliability limits of that area. Added bonus Assist in interviewing, hiring, and training employees, ensuring they meet the engineering quality standards you uphold. Track and analyse performance metrics for the team and your functional area. Support the Head of Engineering in executing ad-hoc projects, drawing from your experience in anticipating technical issues and making strategic technology decisions. This list is not exhaustive and there may be other activities you are required to deliver.  To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely one day each week. What we are looking for This is a highly technical and hands-on role Proven experience in system design, coding, and architecture, with a track record of successfully delivering large systems in multiple languages Skilled in identifying and addressing process inefficiencies, leveraging technical expertise to drive improvements. You’ve had to quickly break down complex problems into potential solutions, knowns and unknowns in order to get a solid resolution faster You have created an architecture that enables many potential futures without knowing what the future is Lead by example (ownership, quality, proactiveness, continuous improvement, product focus, get shit done, culture of open feedback) At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic and eager to learn, we encourage you to apply, even if you don't meet every listed requirement. We believe in fostering growth and providing the support needed for you to excel in your role. Interview Process Screen Call - Video call with a member from the Talent Team - 45-60 minutes 1st Stage - Technical Video call/In-person interview with our Engineers - 90 minutes 2nd Stage - Technical Video call/In-person interview with Engineers - Up to 2 hours Final Stage - Video call/In-person meet with Head of Engineering & VP of Engineering - 60 minutes We aim to finalise the entire interview process and deliver feedback within 4 weeks. Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe.

Finance, Public Sector, Critical InfrastructureSeniorSalesAs a Business Development Manager for Cloudboostr, you will take full, end-to-end ownership of driving revenue growth and expanding our market presence across Europe. This is not an unstable startup or a “greenfield” project built from scratch. Cloudboostr is a mature, sovereign cloud and AI platform already in production at major European institutions.Your mission? Ride the wave of Digital Sovereignty and Private AI, helping companies run powerful AI assistants and infrastructure on their own terms, free from big US tech lock-ins.You will report directly to a VP and work alongside a dedicated team, including a Product Owner, Solution Architect, Delivery, and Marketing team.Instead of shooting in the dark, your sales strategy will focus on high-potential market shifts:Data Centers & Cloud Providers: Building strategic partnerships across Europe.The VMware Wave: Winning over enterprise companies looking for alternatives due to recent market shifts.Government & Public Sector: Helping bodies that strictly require European control over their data.Mid-to-Large Enterprises: Helping mid-sized firms deploy Private AI easily and large firms eliminate single-supplier lock-in.Self-driven prospecting: map the market, open doors, buildyour own network and create early momentum around CloudboostrFull GTM Execution: Model and execute the Go-To-Market strategy based on the 5 key focus areas aboveConsultative Enterprise Selling: Build relationships with C-level executives based on trust and a methodical approach. You talk about business pains, not just featuresPipeline & Deal Management: Manage full sales cycles for complex dealsCollaboration: Work closely with product and engineering team to translate market feedback into commercial opportunitiesWe are looking for a mature, structured professional who values long-term stability and knows how to navigate enterprise tech sales.3–5+ years of experience in B2B enterprise sales, ideally in software, cloud, infrastructure, platforms, data or related areasA proven track record of managing complex sales cycles and closing high-value dealsStrong ability to build relationships with senior stakeholders and business decision-makersUnderstanding of sovereign cloud, data governance, AI infrastructure and the regulatory context in Europe would be your assetA self-driven, autonomous mindset and willingness to build a market from the ground up, including hands-on prospectingExcellent English skills and willingness to travel across the EU when neededWe believe in absolute transparency and rewarding the true impact of our sales team:Solid Base Salary: Up to 20,000 PLN monthly base (B2B)Uncapped, Compound Bonus: You get a 3% commission on everything you sell, including renewals. Your income grows cumulatively as your client base expandsPipeline Building Reward: In year one, you are also directly rewarded for building and maturing the sales pipelineStrong Product & Brand Backing: A proven, working alternative to expensive US cloud providers with real revenue and existing large clientsAutonomy & Trust: Flexible/hybrid setup and direct cooperation with the Board Białystok | Kraków | Wrocław | Remote 18 000 - 20 000 PLN net (B2B) 15 200 - 17 000 PLN gross (UoP) apply nowEmployee referralKnowledge platformsEquipmentIntegration activitiesLunch & LearnIn-house Tech UpLanguage lessonsConferences & trainingDevelopment planFeedback sessionsBusiness travel opportunitiesLet’s talk about your experience and expectations.We’ll dive into more details about your experience and our role.Show us your skills and talents in practice.We’re excited to welcome you onboard! Let’s discuss the details.If you’re not lucky this time, we’ll tell you what you can improve to join us in the future.

Location: Warsaw, Poland — Onsite (4 days / week) Contract: B2B · 25–42 k PLN net / month + RSUs Fresha: Shaping the Future of Beauty & Wellness   Join Fresha, the leading marketplace platform transforming the beauty and wellness industry globally. With over 120,000 businesses and 450,000 stylists trusting our platform, we've powered over 1 billion appointments worldwide. Fresha empowers businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services.   At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil—so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience. Your Impact as a Staff Backend Engineer   Are you ready to make a significant impact in a fast-paced, autonomous environment? We're seeking an exceptional Staff Backend Engineer to join our cross-functional product team in Warsaw.   What You'll Do:   * Technical - this is a heavily technical role; hands-on coding skills are expected. It’s not a management role * Leadership - Own and deliver cross-team and cross tribal technical initiatives * Architectural - Take ownership of architecture for a tribe * Guidance - Sought out for technical guidance; anticipating technical issues at the product level and making architectural and design decisions to avoid them * Improvements - Create sweeping improvements in stability, performance and scalability across major business-critical systems * Delivery - Ensure timely delivery of your team’s projects, which will ultimately have a tangible impact on Fresha’s success * Lead-by-example - Make sure your team follows our engineering practices by leading from the front * Collaboration - Work closely with diverse functions within the team across Product, Design, Data and QA and make sure that the team has clear goals and regularly delivers value to our users * Learning - Facilitate continuous learning and improvement for your team * Standards - Make sure that the systems your team owns meet Fresha quality, reliability and scalability standards * Innovative - You will be anticipating broad technical changes and ensuring Fresha is always ahead of the curve * Strategic - Recognising and making trade-offs concerning the whole system. You have a deep understanding of the entire architecture for a significant part of our business, and you’re able to articulate clearly the scaling and reliability limits of that area. * Multiplier - Primarily acting as a multiplier by building systems, authoring tools or introducing policies or patterns that raise the level of productivity of the entire organisation * Communication - Communicating the awesomeness of Fresha in different Tech communities externally via talks and blog posts, identifying areas that we can share effectively with the outside world, guiding the creation of content and communication around those areas. Leading conversations internally about the direction of significant areas of technology, driving wide-team consensus on the adoption of this direction and using this direction to inspire engineers   This list is not exhaustive, and there may be other activities you are required to deliver. What we are looking for AI-Augmented Workflow: You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You are able to integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer. Delivery - You have consistently delivered large systems involving one or more teams’ contributions on time at a high level of quality Problem-solving - You’ve had to quickly break down complex problems into potential solutions, knowns, and unknowns, in order to get a solid resolution faster Debugging - You’re capable of debugging the hairiest problems that the team encounters Strategy - Played a key role in developing multi-year technology strategy for complete and critical areas of the business that encompass multiple systems and teams Adaptability - You have created an architecture that enables many potential futures without knowing exactly what the future is Relationships - Ability to interact with people from across the business and build strong relationships, including the ability to effectively influence upwards Facilitation - Listened and guided debates to help reach consensus; once a decision is made clearly communicate the decision(s) back Planning - Set short to medium-term strategic technical direction, able to look ahead 6-12 months identify areas of greatest need and create plans to improve them Mentorship - You’re seen as a role model and mentor to every technical member of the team Contribution - Recognised as a prolific contributor to core and side projects Simplification - Consistently reduced the complexity of projects, services, and processes to get more done with less work Architecture - Shaped broad architecture; shipped multiple large services, complex libraries or major pieces of infrastructure Impact - Made obvious positive impact on an entire company’s technical trajectory Team-player - Happy to roll sleeves up and assist the team when required (team player) Proactive - Self-starter and proactive approach Adaptive - Comfortable working in a fast-paced and changing environment At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic and eager to learn, we encourage you to apply, even if you don't meet every listed requirement. We believe in fostering growth and providing the support needed for you to excel in your role. Why Join Fresha? Real Impact: Directly influence our product and architecture in a rapidly growing global business. Cutting-Edge Tech: Work with modern technologies and contribute to a significant migration to microservices. Dynamic Culture: Be part of a team that encourages autonomy and innovation. Don't meet every requirement? We value passion and potential. Apply today and let's grow together! Benefits Taking part in the decision making process of migration to microservices. Learn how to design, deploy and maintain complex applications. Help us to introduce other technologies such as serverless services, SQS, continuous delivery and deployment and more. Flexi-time (around core hours) Competitive salaries & RSUs 20 days PTO Travel coverage when visiting teammates - through workshops and social events Interview Process Screen Stage - Video-call with a member from the Talent Team (45-60min) 1st Stage - Technical video/In-person interview with the team (90min) 2nd Stage - Technical Video/In-person interview with Team (up to 2 hours) Final Stage - Video interview with Head of Engineering / VP of Engineering /CTO (60min) We aim to complete the entire interview process and deliver feedback within 4 weeks. Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe

Location: Warsaw, Poland - Onsite (4 days/week) Contract: B2B · 25-40 k PLN net / month + RSUs   Why Fresha & Why Now?   Fresha is re-imagining how the global beauty and wellness industry runs. 120k+ businesses, 450k+ professionals, millions of clients, and 1 billion+ appointments already rely on our platform for everything from bookings to payments.   Join us at a moment of rapid scale - your work will surface on screens around the world within days, not quarters.   What You’ll Do   At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil—so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience.    * Own and evolve our core booking & scheduling engine - the heartbeat of Fresha - ensuring it scales smoothly and delivers seamless experiences for millions. * Design, build, and ship new user-facing features in React + TypeScript, reaching millions of professionals and clients. * Own features end-to-end: discovery, technical design, implementation, testing, rollout, and observability. * Tap into (and extend) our Design System to ship polished UI quickly while raising the bar for consistency. * Write robust automated tests (Cypress, Jest, React Testing Library) and keep the CI/CD pipeline green. * Partner closely with Product, Design, Backend, Infrastructure, and Mobile engineers to take features from discovery to rollout and beyond. * Accelerate with AI: harness AI agents, LLM-powered coding tools, and access to a wide range of AI tools (e.g., chatbots, dev assistants). * Curious about backend, DevOps, or mobile? Great - we’ll support you in exploring any part of the stack. What We’re Looking For AI-Augmented Workflow: You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You are able to integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer. Deep expertise in modern React & TypeScript, with a track record of shipping large-scale, consumer-facing web apps. Solid grasp of GraphQL (Apollo or urql) and REST fundamentals. Experience working with design systems. Fluency in web performance, cross-browser, and responsive design best practices. A testing mindset and familiarity with JS/TS testing frameworks. Don’t meet every single requirement? Passion and potential matter more than perfect check-boxes. If this role excites you, apply today and grow with us! Why You’ll Love It Here Direct impact & ownership - your decisions shape the product. Modern tech stack, continuous learning, and innovation. Competitive salary, equity, private healthcare, and more. Our Technology Stack - Frontend Technologies React - Modern JavaScript UI library TypeScript - Strongly typed JavaScript React Router DOM - Client-side routing React Redux - State management Zustand - Lightweight state management Formik - Form management Build Tools & Bundlers Rsbuild - Modern build tool (Rspack-based) esbuild - Fast JavaScript bundler Turbo - High-performance build system SWC - Rust-based JavaScript compiler UI & Design System Fresha Design System - Custom design system Sass/SCSS - CSS preprocessor PostCSS - CSS transformation Lottie - Animations State Management & Data Fetching Redux with Redux Actions URQL - GraphQL client Backend Communication GraphQL - API query language GraphQL Code Generator - Type-safe GraphQL Phoenix - Real-time WebSocket channels WebSocket & Server-Sent Events support Backend Technologies Node.js TypeScript Elixir Ruby on Rails PostgreSQL Redis Docker Kubernetes NginxAWS Testing Framework Jest - Unit testing Cypress - Component and integration testing Testing Library - React testing utilities MSW - API mocking Code Quality & Linting ESLint - JavaScript linting TypeScript strict mode Development Tools Storybook - Component documentation Happo - Visual regression testing Mobile Development Capacitor - Native mobile app wrapper iOS & Android - Native mobile platforms CI/CD & DevOps GitHub Actions - Continuous integration AWS - Cloud infrastructure Datadog - Monitoring and analytics Monitoring & Analytics Sentry - Error tracking Amplitude - User analytics Unleash - Feature flags Date & Time date-fns - Date manipulation moment - Date handling (legacy) Interview Process Screen call - Video call with a member from the Talent Team - 30 - 60 minutes 1st stage - Technical Video call/In-person interview with our Engineers- Up to 90 minutes Tech stage - Technical Video call/In-person interview with our Engineers - up to 2 hours Final stage - Video call/In person meet with our CTO - up to 60 minutes We aim to finalise the entire interview process and deliver feedback within 4 weeks. Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe

Dla naszego klienta - Biura projektowego z Katowic, poszukujemy: Projektanta / Projektantki lub Inżyniera / Inżynierki (bez pełnych uprawnień) - branża drogowa Zakres obowiązków: Opracowywanie projektów dla inwestycji drogowych Sporządzanie rysunków i dokumentacji projektowej Koordynowanie procesu projektowego z zespołami innych branż, w tym m.in. sanitarnej i elektrycznej Bieżąca współpraca z inwestorem, jednostkami administracyjnymi oraz innymi instytucjami w zakresie uzgodnień formalnych i technicznych Sprawowanie nadzoru autorskiego nad realizacją projektów oraz zapewnianie wsparcia technicznego na etapie robót budowlanych Wymagania: Wykształcenie wyższe w specjalności drogowej Uprawnienia projektowe bez ograniczeń w specjalności drogowej - dopuszczalnie również osoby bez pełnych uprawnień, z doświadczeniem w branży dogowej Znajomość programów CAD, Civil 3D, MS Office Doświadczenie w procesie inwestycyjnym Umiejętność czytania i tworzenia dokumentacji technicznej Dokładność, sumienność, zdolność do pracy zespołowej Prawo jazdy kat. B Pracodawca oferuje: Zatrudnienie na podstawie umowy o pracę Atrakcyjne wynagrodzenie - 11 000 - 13 000 zł brutto (w zależności od doświadczenia) Elastyczne godziny pracy Możliwość przystąpienia do prywatnego ubezpieczenia na życie Sprzęt niezbędny do pracy (komputer służbowy) Dofinansowanie do szkoleń i kursów Brak dress code'u Możliwość uzyskania uprawnień

Nasze realne wyzwania i codzienność Rozwijamy globalną platformę w branży iGaming. Nasze systemy obsługują ogromny ruch na żywym organizmie – to ponad 100 milionów zapytań dziennie (ponad 3 miliardy miesięcznie). Nasze środowiska produkcyjne to duże serwisy działające online, na których ruch odbywa się przez cały czas. Projektujemy architekturę rozproszoną, nastawioną na niezawodność i wysoki ruch. U nas dostajesz koncepcję od biznesu, a Twoim zadaniem jest samodzielne napisanie i wdrożenie funkcji od A do Z na środowisko produkcyjne.  Budujemy rzeczy, które mają znaczenie i szukam kogoś, kto weźmie odpowiedzialność za zespół produktowy (10–20 osób) i dowiezie wyniki, a nie tylko statusy. Jak będzie wyglądać Twoja rola?  To  stanowisko z dużym wpływem, dużą odpowiedzialnością i dużą przestrzenią do zmiany tego, jak budujemy Szukamy osoby z twardą ręką, która weźmie pełną odpowiedzialność za zespół produktowy i dowiezie wyniki. Na początku (~70% kod, 30% architektura): Skupisz się na pisaniu zaawansowanego kodu w Node.js i projektowaniu, aby dokładnie poznać nasz system od środka. W kolejnym etapie: Przejmiesz odpowiedzialność za rozwój architektury oraz rekrutację i reorganizację zespołu. Czego bezwzględnie oczekujemy? (Warunki konieczne) Doświadczenia w budowaniu, skalowaniu lub reorganizacji zespołów produktowych (analitycy, dev, QA). Nie szukamy kogoś, kto chce się tego dopiero uczyć - to warunek bezwzględny, szukamy lidera merytorycznego. Eksperckiej wiedzy z zakresu Node.js oraz TypeScript. Szukamy osoby, która będzie silnym autorytetem merytorycznym - nasi obecni Seniorzy nie mogą Cię zagiąć technicznie ani umiejętnościami. Praktycznej znajomości: profilowania Event Loop, wycieków pamięci, WebSockets, asynchroniczności oraz MySQL i Redis. Doświadczenia w orkiestracji i konteneryzacji mikroserwisów w oparciu o ekosystem Docker & Kubernetes. Doświadczenia z zaawansowanymi środowiskami produkcyjnymi o dużym ruchu online. Jeśli odpowiadasz za żywe środowisko produkcyjne, oczekujemy od Ciebie otwartości na elastyczne godziny pracy. Doświadczenia w samodzielnym wdrażaniu funkcji na produkcję od A do Z. Umiejętności realnego wykorzystywania narzędzi takich jak Claude Code w codziennej pracy. Wskazanego wprost doświadczenia w branży iGaming, hazardowej lub bukmacherskiej lub w sektorach pokrewnych. Proaktywności, otwartości i łatwości w nawiązywaniu kontaktów. Poszukujemy osoby, która która potrafi słuchać, sprawnie wyciągać od zespołu potrzebne informacje i zadba o to, by każdy grał w tej samej lidze informacyjnej. Języka angielskiego na poziomie min. C1 - swobodne prowadzenie rekrutacji i codzienna praca z anglojęzycznym zespołem. Co oferujemy? Wynagrodzenie 32 000 - 40 000 zł netto / B2B (w zależności od doświadczenia) 2-miesięczny okres próbny - umowa na czas nieokreślony Praca w pełni zdalna Laptop MacBook Dofinansowanie do home office - indywidualnie dobieramy akcesoria do Twoich potrzeb Realny wpływ na architekturę globalnego produktu, stabilny rozwój jednej platformy i brak korporacyjnego betonu Budżet szkoleniowy oraz możliwość udziału w konferencjach i wyjazdach służbowych (udział dobrowolny, koszty pokrywa firma) Dofinansowanie do karty Multisport Kompleksowe wsparcie psychologiczne Program poleceń pracowników Proces rekrutacji Rozmowa z HR (15 min) -  omówienie formalności i wzajemne poznanie oczekiwań. Panel techniczny z Seniorami - tu zweryfikujemy Twój twardy skill.  Sesja Livecodingu i Architektury z CTO (90 min) - sprawdzamy jak myślisz i projektujesz. Finalna decyzja i witamy na pokładzie!  Brzmi jak wyzwanie dla Ciebie? Dołącz do BlueBinary i buduj z nami rozwiązania, które obsługują miliony użytkowników na całym świecie!

Location: Warsaw, Poland — Onsite (4 days on-site) Contract: B2B · 25–40 k PLN net / month + RSUs The AI-powered OS for beauty, wellness and self-care Fresha is the operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Marketplace + SaaS platform + Fintech Fresha is the leading AI operating system trusted by millions of consumers and businesses worldwide. Fresha is used by 130,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. Empowering businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services. Your Impact as a Backend Engineer   At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil—so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience.    Are you ready to make a significant impact in a fast-paced, autonomous environment? We're seeking an exceptional Backend Engineer to join our cross-functional product team in Warsaw.   What You'll Do:   * Collaborate closely with Product, Design, Frontend, Infrastructure, and Mobile engineers to take features from discovery to rollout and beyond. * Be responsible for features from discovery to observability: technical design, implementation, testing, and rollout. * Design, build, and maintain efficient, scalable, and reliable Ruby/Elixir code. * Work with a polyglot stack (Ruby, Elixir, GraphQL, TypeScript, gRPC) and modern messaging systems (Kafka). * Operate within a Kubernetes-driven environment as we continue moving to a microservice architecture. * Embrace Domain-Driven Design to build high-quality, impactful products from inception to delivery. What We're Looking For: AI-Augmented Workflow: You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You are able to integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer. Experience building and maintaining globally distributed systems. Knowledge of event-driven architectures (Kafka). ~2+ years of experience in product engineering, developer tools, or infrastructure at scale. A pragmatic generalist who thrives on learning new frameworks and tackling complex challenges. Familiarity with languages such as Elixir, Ruby, or TypeScript is a plus. Why Join Fresha? Real Impact: Directly influence our product and architecture in a rapidly growing global business. Cutting-Edge Tech: Work with modern technologies and contribute to a significant migration to microservices. Dynamic Culture: Be part of a team that encourages autonomy and innovation. Don't meet every requirement? We value passion and potential. Apply today and let's grow together! Interview Process Screen Stage - Video-call with a member from the Talent Team (45-60min) 1st Stage - Technical video/In-person interview with the team (90min) 2nd Stage - Technical Video/In-person interview with Team (up to 2 hours) Final Stage - Video interview with Head of Engineering / VP of Engineering (60min) We aim to finalise the entire interview process and deliver feedback within 4 weeks. Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe

iOS Software Engineer 11/08/26 22000 – 28000 PLN / Month Remote Apply now!Candidate dataiOS Software EngineerAbout the RoleAs an iOS Software Engineer, you will own the iOS client experience, shaping how AI feels, responds, and performs in users’ hands. This is not a thin integration role—you will build and maintain a production-grade iOS application where AI interactions are central to the product experience. Performance, reliability, and user trust are critical to everything you build.Core Focus & ResponsibilitiesApplication Development: Build and maintain high-quality iOS applications using Swift and SwiftUI.AI Feature Integration: Integrate AI-powered features through backend APIs and ensure seamless interaction between the mobile client and AI services.AI UX Design: Design intuitive UX patterns for AI interactions, including loading states, streaming responses, retries, error handling, and fallbacks.Performance Optimization: Optimize application performance, memory usage, CPU consumption, and battery efficiency.User Feedback Loops: Capture and leverage user signals and feedback to support AI evaluation and continuous product iteration.Cross-Functional Collaboration: Partner closely with backend and ML engineers on API design, system behavior, and end-to-end product functionality.Production Quality: Maintain high App Store standards, application stability, reliability, and overall production quality.What We’re Looking ForCore iOS Experience: 3+ years of professional iOS development experience using Swift, with a proven track record of shipping and maintaining production applications.AI Integration: Hands-on experience integrating AI-powered features into mobile applications.Concurrency & Performance: Strong understanding of async/await, concurrency, background tasks, and memory/CPU optimization.Resilience Mindset: Comfortable designing applications that account for latency, partial failures, network instability, and the non-deterministic nature of AI systems.AI UX Intuition: Strong understanding of AI UX patterns and the ability to design experiences that build user confidence and trust.Nice to HaveExperience with Core ML or exposure to on-device machine learning.Familiarity with feature flags and remote configuration systems.Tech StackLanguages & Frameworks: Swift, SwiftUIDependency Management: Swift Package Manager (SPM)Databases: SQL / NoSQLOn-Device ML: TensorFlow Lite for on-device inferenceExpected OutcomesFlawless Client Experience: Deliver stable, smooth, and reliable iOS applications designed for real-world usage.High Efficiency: Optimize application performance to provide low-latency, responsive interactions while minimizing CPU and memory consumption.Proactive Monitoring: Identify production issues early, establish effective monitoring, and resolve incidents quickly through clear root-cause analysis.How We Work & Application ProcessWe are a high-talent-density, hands-on team that operates at a rapid pace while balancing high-quality engineering with continuous learning and iteration.Interview Process: If there is a mutual fit, we will schedule 3–4 interviews with members of our technical team, conducted virtually and/or on-site. We value transparency and efficiency and aim to make timely, well-informed decisions throughout the process.Over 60% of our candidates get invited to an interview with our Clients.Apply with the form below and we will reach out to you in the next 24h

Location: Warsaw, Poland — Onsite (4 days on-site) Contract: B2B · 25–40 k PLN net / month + RSUs The AI-powered OS for beauty, wellness and self-care Fresha is the operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Marketplace + SaaS platform + Fintech Fresha is the leading AI operating system trusted by millions of consumers and businesses worldwide. Fresha is used by 130,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. Empowering businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services. Role Overview   At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil—so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience.    Given our exciting and progressive growth plans, we are looking for an exceptional Senior Backend Engineer to come join our global business.   Reporting directly to the Team Lead, and working collaboratively in a cross-functional product team within a tribe, you will be accountable for designing and developing applications and coordinating with the rest of the team working on different layers of the infrastructure Fresha.   This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact!   To foster a collaborative environment that thrives on face-to-face interactions and teamwork, you will need to travel for one week once a quarter to our quarterly team events (in London/Warsaw/Prishtina). What you will be doing * Collaborate closely with Product, Design, Frontend, Infrastructure, and Mobile engineers to take features from discovery to rollout and beyond. * Be responsible for features from discovery to observability: technical design, implementation, testing, and rollout. * Design, build, and maintain efficient, scalable, and reliable Ruby/Elixir code. * Work with a polyglot stack (Ruby, Elixir, GraphQL, TypeScript, gRPC) and modern messaging systems (Kafka). * Operate within a Kubernetes-driven environment as we continue moving to a microservice architecture. * Embrace Domain-Driven Design to build high-quality, impactful products from inception to delivery. What we are looking for AI-Augmented Workflow: You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You are able to integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer. Experience building and maintaining globally distributed systems. Knowledge of event-driven architectures (Kafka). ~2+ years of experience in product engineering, developer tools, or infrastructure at scale. A pragmatic generalist who thrives on learning new frameworks and tackling complex challenges. Familiarity with languages such as Elixir, Ruby, or TypeScript is a plus. Why Join Fresha? Real Impact: Directly influence our product and architecture in a rapidly growing global business. Cutting-Edge Tech: Work with modern technologies and contribute to a significant migration to microservices. Dynamic Culture: Be part of a team that encourages autonomy and innovation. Don't meet every requirement? We value passion and potential. Apply today and let's grow together! Interview Process Screen Stage - Video-call with a member from the Talent Team (45-60min) 1st Stage - Technical video/In-person interview with the team (90min) 2nd Stage - Technical Video/In-person interview with Team (up to 2 hours) Final Stage - Video interview with Head of Engineering / VP of Engineering (60min) We aim to finalise the entire interview process and deliver feedback within 4 weeks. Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe

Location: Warsaw, Poland — Onsite (4 days on-site) Contract: B2B · 25–40 k PLN net / month + RSUs The AI-powered OS for beauty, wellness and self-care Fresha is the operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Marketplace + SaaS platform + Fintech Fresha is the leading AI operating system trusted by millions of consumers and businesses worldwide. Fresha is used by 130,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. Empowering businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services. Your Impact as a Full Stack Engineer   At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil—so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience.    Are you ready to make a significant impact in a fast-paced, autonomous environment? We're seeking an exceptional Backend Engineer to join our cross-functional product team in Warsaw.   What You'll Do:   * Collaborate closely with Product, Design, Frontend, Infrastructure, and Mobile engineers to take features from discovery to rollout and beyond. * Be responsible for features from discovery to observability: technical design, implementation, testing, and rollout. * Design, build, and maintain efficient, scalable, and reliable Ruby/Elixir code. * Work with a polyglot stack (Ruby, Elixir, GraphQL, TypeScript, gRPC) and modern messaging systems (Kafka). * Operate within a Kubernetes-driven environment as we continue moving to a microservice architecture. * Embrace Domain-Driven Design to build high-quality, impactful products from inception to delivery.   To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office four days per week, with the flexibility to work remotely on Wednesday each week. Warsaw: 20th Floor, Aleje Jerozolimskie 81, 02-001 Warsaw, Poland What we are looking for AI-Augmented Workflow: You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You are able to integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer. Experience building and maintaining globally distributed systems. Knowledge of event-driven architectures (Kafka). ~2+ years of experience in product engineering, developer tools, or infrastructure at scale. A pragmatic generalist who thrives on learning new frameworks and tackling complex challenges. Familiarity with languages such as Elixir, Ruby, or TypeScript is a plus. At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic and eager to learn, we encourage you to apply, even if you don't meet every listed requirement. We believe in fostering growth and providing the support needed for you to excel in your role. Why Join Fresha? Real Impact: Directly influence our product and architecture in a rapidly growing global business. Cutting-Edge Tech: Work with modern technologies and contribute to a significant migration to microservices. Dynamic Culture: Be part of a team that encourages autonomy and innovation. Don't meet every requirement? We value passion and potential. Apply today and let's grow together! Interview Process Screen call - Video call with a member from the Talent Team - 30 - 60 minutes 1st stage - Technical Video call/In-person interview with our Engineers- Up to 90 minutes Tech stage - Technical Video call/In-person interview with our Engineers - up to 2 hours Final stage - Video call/In person meet with our CTO - up to 60 minutes We aim to complete the entire interview process and deliver feedback within 4 weeks.  Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe

Android Software Engineer 11/08/26 22000 – 28000 PLN / Month Remote Apply now!Candidate dataAndroid Software EngineerAbout the RoleAs an Android Software Engineer, you will own the Android client experience, shaping how AI feels, behaves, and performs on mobile devices. This is not a thin client role—you will build and maintain a production-grade Android application where AI interactions are central to the product experience. Performance, reliability, security, and clarity are essential to everything you build.Core Focus & ResponsibilitiesApplication Development: Build and maintain high-quality, production-grade Android applications using Kotlin.AI Feature Integration: Integrate AI-powered features, including chat, vision, voice, and recommendations, through backend APIs.AI UX Design: Design intuitive UX patterns for AI interactions, including streaming responses, retries, error handling, and partial results.Performance Optimization: Optimize application performance, memory usage, responsiveness, and resource consumption across AI-intensive workflows.Observability & Feedback: Implement analytics, logging, monitoring, and feedback mechanisms to support AI evaluation and continuous product iteration.Cross-Functional Collaboration: Partner closely with backend and ML engineers on API contracts, system behavior, and end-to-end product functionality.Production Stability: Ensure application stability, security, scalability, and reliability across production environments.What We’re Looking ForCore Android Experience: 3+ years of professional Android development experience using Kotlin, with a proven track record of shipping and maintaining production applications available on the Google Play Store.AI Integration: Hands-on experience integrating AI-powered features, such as LLMs, computer vision, or speech APIs, into mobile applications.Asynchronous Programming: Strong understanding of asynchronous programming with Kotlin Coroutines and Flow.API Integration: Familiarity with REST and/or gRPC APIs, structured data formats, and reliable client-server communication.Profiling & Debugging: Strong debugging, profiling, and performance optimization skills.Resilience Mindset: Comfortable building applications that account for latency, partial failures, unreliable connectivity, and non-deterministic AI behavior.Nice to HaveExperience with ML Kit or exposure to on-device machine learning and inference.Tech StackLanguages: Kotlin / JavaDatabases: SQL / NoSQLOn-Device ML: TensorFlow Lite for on-device inferenceExpected OutcomesFlawless Client Experience: Deliver stable, smooth, and reliable Android applications designed for real-world usage.High Efficiency: Optimize application performance to provide low-latency, responsive interactions while minimizing CPU and memory consumption.Proactive Monitoring: Identify production issues early, implement effective monitoring, and resolve incidents quickly through clear root-cause analysis.How We Work & Application ProcessWe are a high-talent-density, hands-on team that operates at a rapid pace while balancing high-quality engineering with continuous learning and iteration.Interview Process: If there is a mutual fit, we will schedule 3–4 interviews with members of our technical team, conducted virtually and/or on-site. We value transparency and efficiency and aim to make timely, well-informed decisions throughout the process.Over 60% of our candidates get invited to an interview with our Clients.Apply with the form below and we will reach out to you in the next 24h

Position: Senior Engineering Manager (Team Lead) Type of contract: B2B or UoP Working mode: Fully remote Salary: 33 – 39k PLN/month Role overview: Our client is a fast-scaling B2B AI start-up building reliable, scalable products for finance teams. They are transforming how finance teams work by shaping how AI Agents improve operations at scale. The company is backed by a strong vision to use AI not just for insights, but for meaningful work inside critical business processes with governance and measurable outcomes. Joining them means helping shape the technical foundation, product quality, and engineering culture behind AI Agents that finance teams can trust. Your Mission: You will lead a high-performing engineering team, strengthen delivery practices, and help scale the product and engineering organization. While you may not write every line of code anymore, you still enjoy getting into the details when it matters—reviewing technical decisions, asking architectural questions, and debugging complex issues. You will foster a culture of trust, clarity, and high-autonomy, empowering your team to thrive based on the standards, support, and ownership you put in place. Requirements: Experience: Proven experience managing a distributed team of engineers, setting clear goals, and developing technical talent. Strong background as a software engineer before moving into management. Tech Stack Familiarity: Strong experience across modern software engineering, with familiarity with Python and TypeScript, giving you credibility to lead technical conversations. Delivery Mindset: Experience delivering production-grade software at scale. Strong understanding of cloud-native architecture, APIs, databases, CI/CD, automated testing, and observability. Communication & Stakeholder Management: Excellent communicator working effectively with technical and non-technical stakeholders (Product, Commercial, Customer Success, and leadership). Mindset: Positive attitude with a ‘doer’ approach. You take ownership, move quickly, and solve problems pragmatically in a fast-paced environment. Commercially minded, ensuring engineering decisions support business growth. AI-First Thinker: Embraces innovation and is excited about using AI tools to improve engineering productivity and customer outcomes. Bonus: Experience in finance, accounts receivable, payments, credit, ERP systems, or workflow automation is a strong plus. Responsibilities: Team Leadership: Lead, coach, and develop a distributed team of 6 to 10 engineers, creating a culture of ownership, accountability, collaboration, and continuous improvement. Technical Delivery: Partner closely with Product and Implementation teams to translate customer needs into clear technical plans. Drive agile delivery practices for fast, high-quality product improvements. Point of Contact: Act as the primary point of contact for CS, Sales, and implementation requests, owning triage, estimation, and configuration scoping. Quality Assurance: Own QA and release processes end-to-end to ensure reliable shipping and defect prevention. Organizational Scaling: Work closely with the CTO and leadership to scale the engineering organization, team structure, and operating rhythm. People Management: Support hiring, onboarding, performance management, and career development as the team expands. Benefits: Fully remote role in a globally distributed organization. 23 days of holiday, including flexible bank holidays. Company-wide offsites on a quarterly or semi-annual basis, including visits to international offices in the UK and US. Access to multiple frontier AI tools for daily work and experimentation. Potential share options.

Position: Senior Engineering Manager (Team Lead) Type of contract: B2B or UoP Working mode: Fully remote Salary: 33 – 39k PLN/month Role overview: Our client is a fast-scaling B2B AI start-up building reliable, scalable products for finance teams. They are transforming how finance teams work by shaping how AI Agents improve operations at scale. The company is backed by a strong vision to use AI not just for insights, but for meaningful work inside critical business processes with governance and measurable outcomes. Joining them means helping shape the technical foundation, product quality, and engineering culture behind AI Agents that finance teams can trust. Your Mission: You will lead a high-performing engineering team, strengthen delivery practices, and help scale the product and engineering organization. While you may not write every line of code anymore, you still enjoy getting into the details when it matters—reviewing technical decisions, asking architectural questions, and debugging complex issues. You will foster a culture of trust, clarity, and high-autonomy, empowering your team to thrive based on the standards, support, and ownership you put in place. Requirements: Experience: Proven experience managing a distributed team of engineers, setting clear goals, and developing technical talent. Strong background as a software engineer before moving into management. Tech Stack Familiarity: Strong experience across modern software engineering, with familiarity with Python and TypeScript, giving you credibility to lead technical conversations. Delivery Mindset: Experience delivering production-grade software at scale. Strong understanding of cloud-native architecture, APIs, databases, CI/CD, automated testing, and observability. Communication & Stakeholder Management: Excellent communicator working effectively with technical and non-technical stakeholders (Product, Commercial, Customer Success, and leadership). Mindset: Positive attitude with a ‘doer’ approach. You take ownership, move quickly, and solve problems pragmatically in a fast-paced environment. Commercially minded, ensuring engineering decisions support business growth. AI-First Thinker: Embraces innovation and is excited about using AI tools to improve engineering productivity and customer outcomes. Bonus: Experience in finance, accounts receivable, payments, credit, ERP systems, or workflow automation is a strong plus. Responsibilities: Team Leadership: Lead, coach, and develop a distributed team of 6 to 10 engineers, creating a culture of ownership, accountability, collaboration, and continuous improvement. Technical Delivery: Partner closely with Product and Implementation teams to translate customer needs into clear technical plans. Drive agile delivery practices for fast, high-quality product improvements. Point of Contact: Act as the primary point of contact for CS, Sales, and implementation requests, owning triage, estimation, and configuration scoping. Quality Assurance: Own QA and release processes end-to-end to ensure reliable shipping and defect prevention. Organizational Scaling: Work closely with the CTO and leadership to scale the engineering organization, team structure, and operating rhythm. People Management: Support hiring, onboarding, performance management, and career development as the team expands. Benefits: Fully remote role in a globally distributed organization. 23 days of holiday, including flexible bank holidays. Company-wide offsites on a quarterly or semi-annual basis, including visits to international offices in the UK and US. Access to multiple frontier AI tools for daily work and experimentation. Potential share options.

Fullstack Engineer – AI Systems 11/08/26 25000 – 30000 PLN / Month Remote Apply now!Candidate dataFullstack Engineer – AI SystemsAbout the RoleWe are looking for a Fullstack Engineer – AI Systems to build the product layer that transforms raw model capabilities into reliable, production-grade workflows. In this role, you will design and develop AI-powered systems that can plan, execute, recover from failures, and consistently deliver value to users across complex, multi-step tasks.Core Focus & ResponsibilitiesEnd-to-End Feature Delivery: Build and ship features across the frontend, backend, and AI integration layers.Agent Workflow Design: Design and implement agent workflows capable of planning, using tools, handling failure modes, and recovering across multi-step tasks.AI & Tool Integration: Integrate LLMs, persistent memory, and external tools into reliable systems that perform consistently under real-world conditions.Real-Time Interaction UX: Build responsive AI experiences with streaming responses, partial results, and demanding latency requirements.Reliability & Observability: Strengthen system reliability, monitoring, observability, error handling, and fallback mechanisms.Cross-Functional Collaboration: Work closely with ML, backend, and product teams to take features from initial concept through production.Continuous Iteration: Rapidly iterate and improve AI systems based on real-world usage, performance data, user feedback, and observed failure modes.What We’re Looking ForFull Stack Foundation: Strong full stack engineering experience across both frontend and backend development.System Design: Solid understanding of system architecture, API design, distributed systems, and scalable integrations.AI & LLM Experience: Hands-on experience building or integrating LLM-powered applications, RAG systems, AI agents, or other AI-driven product features.Pragmatic Ownership: High degree of ownership, with the ability to take ambiguous ideas from concept to production independently while making sound engineering trade-offs.Agility: Comfortable working in fast-moving environments with evolving requirements, rapid iteration, and a high degree of autonomy.Tech StackFrontend & Backend: Next.js, Node.js, PythonAI & ML Frameworks: PyTorch, OpenAI, Anthropic, and open-source LLMsDatabases: SQL & NoSQLInfrastructure & DevOps: Docker, KubernetesExpected OutcomesGoal-Driven Workflows: Ship AI-native product features that evolve beyond simple chat interfaces into persistent, goal-oriented workflows.Reliable Agent Execution: Build and deploy agent workflows that reliably complete complex, multi-step tasks across external tools and sessions.Performance & Fallbacks: Reduce latency and improve responsiveness while maintaining robust fallback and recovery mechanisms for LLM, API, or tool failures.System Abstractions: Establish clean architectural patterns and reusable abstractions for integrating LLMs, memory, external APIs, and tools into scalable product systems.How We Work & Application ProcessWe are a small, world-class team with a high talent density. We make decisions collectively, move at a rapid pace, and balance high-quality execution with continuous learning and experimentation.Interview Process: If there appears to be a mutual fit, we will schedule 3–4 interviews with members of the technical team, conducted virtually and/or on-site. We prioritize transparency and efficiency and aim to make timely, well-informed decisions throughout the process.Over 60% of our candidates get invited to an interview with our Clients.Apply with the form below and we will reach out to you in the next 24h

Engineering Manager Poland W Fast Forward Solutions specjalizujemy się w rekrutacji ekspertów z dziedziny sprzedaży i marketingu dla klientów technologicznych. Jako doświadczony zespół, oferujemy wsparcie pracodawcom w poszukiwaniu najlepszych talentów oraz pomagamy kandydatom w budowaniu ekscytujących karier.Nasz klient to dynamicznie rozwijająca się firma technologiczna, budująca zaawansowane rozwiązania cyfrowe i platformy o dużej skali, poszukująca doświadczonego Engineering Managera, który obejmie odpowiedzialność za rozwój zespołu oraz kluczowych obszarów produktowo-technicznych.🔸 Idealny kandydat/ka 🔸Idealna osoba na to stanowisko to doświadczony lider technologiczny, który potrafi łączyć kompetencje inżynierskie z biznesowym podejściem do realizacji celów. Kandydat/ka swobodnie porusza się w środowiskach o wysokiej złożoności technologicznej, posiada doświadczenie w pracy z systemami rozproszonymi oraz umiejętność podejmowania decyzji architektonicznych. To osoba, która potrafi budować efektywne zespoły, rozwijać ludzi oraz tworzyć kulturę odpowiedzialności, feedbacku i ciągłego doskonalenia. Ważna jest także umiejętność pracy cross-teamowej oraz skuteczna komunikacja z interesariuszami na różnych poziomach organizacji.🔸 Kluczowe zakresy odpowiedzialności i zadania 🔸• Codzienna koordynacja pracy zespołu• Raportowanie statusu projektów, identyfikacja ryzyk i blokerów oraz komunikacja z CTO• Onboarding i rozwój nowych członków zespołu• Koordynacja zakupów narzędzi, licencji i infrastruktury• Odpowiedzialność za obszar produktowo-techniczny o wysokiej złożoności• Definiowanie priorytetów oraz równoważenie potrzeb biznesowych i technologicznych• Podejmowanie decyzji architektonicznych i inicjowanie zmian technologicznych• Zapewnienie stabilności systemów oraz nadzór nad incydentami i obserwowalnością• Planowanie zasobów, skalowanie zespołu oraz udział w budżetowaniu• Budowanie i rozwój wysokowydajnego zespołu oraz liderów technicznych• Współpraca międzyzespołowa i reprezentowanie obszaru technicznego w organizacji🔸 Twój profil 🔸• Doświadczenie w zarządzaniu zespołami budującymi platformy lub backendy o wysokiej złożoności• Bardzo dobra znajomość architektury systemów rozproszonych• Doświadczenie w pracy w środowisku cross-teamowym oraz z systemami legacy• Ownership za delivery, stabilność systemów oraz rozwój zespołu• Wysokie kompetencje komunikacyjne i decyzyjne• Mile widziane: doświadczenie z event-driven architecture, Kafka, CDC, CQRS• Mile widziane: doświadczenie z SaaS (multi-tenant), SSO, IAM, API platformami• Mile widziane: doświadczenie w budowie produktów od podstaw oraz w środowisku e-commerce (OMS/WMS, integracje)🔸 Dlaczego warto dołączyć do naszego Klienta? 🔸To rola z realnym wpływem na rozwój zaawansowanych systemów technologicznych oraz kształtowanie architektury i kierunku rozwoju produktów. Firma oferuje środowisko, w którym liderzy mają dużą autonomię decyzyjną, a także możliwość pracy nad projektami o dużej skali i znaczeniu biznesowym. To także okazja do budowania i rozwijania zespołu oraz wpływania na kulturę organizacyjną w dynamicznym środowisku technologicznym.🔸 Oferta 🔸32 000 – 38 000 PLN / MiesiącPraca w modelu hybrydowym lub zdalnym (w zależności od preferencji kandydata)Możliwość realnego wpływu na architekturę i rozwój platformyKartę Benefit Systems - MultisportPrywatną opiekę medycznąUbezpieczenie grupowePraca z nowoczesnym stackiem technologicznym i dużą skalą danychUdział w strategicznych projektach technologicznychSkontaktujemy się tylko z wybranymi kandydatami, których CV będzie jasno wskazywało poszukiwane przez nas umiejętności i kompetencje.Proces rekrutacyjny będzie się składał z weryfikacji CV, 45-minutowej wideo rozmowy kwalifikacyjnej, spotkania online z klientem, a następnie ponownego spotkania z klientem.Więcej o nas https://ffsolutions.pl Powered by

Type of contract: Contract of Employment Working mode: Fully remote Salary: 35 – 37,5k PLN/month About Our Client Our client is a rapidly scaling global leader in Sports Tech, combining high-growth SaaS platforms with integrated payments processing ($13B+ processed annually). Having expanded from $150M to $400M in revenue with double-digit international growth across 20+ countries, they maintain a high-impact, wellness-focused culture. Company Culture & Values Best Life: Great work begins with great people. Their culture is built on respect, trust, and belonging. They create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact. Growth Mindset: They are doers, thinkers, and dreamers. Your growth is their investment. Through continuous learning, mentorship, and professional development opportunities, they empower employees to reach new heights—personally and professionally. One Team: From day one, employees are part of a team that collaborates, celebrates, and cares. They move fast, support one another, and have fun along the way. About the Team The client is building a shared AI Enablement Platform that allows every product team across the company to ship AI-powered features quickly, safely, and at scale. The goal is simple: remove the plumbing so product teams can focus on customer value instead of reinventing AI infrastructure. This platform provides the paved path for building production AI systems across the organization, including: Reusable APIs for chat, summarization, RAG, classification, and AI workflow execution. Agent orchestration patterns for multi-step reasoning, tool use, validation, and fallback handling. Evaluation and validation systems to measure output quality and prevent regressions. Observability, policy enforcement, cost controls, and production guardrails. Developer experience, documentation, templates, and reference implementations that help teams adopt AI faster. They value an entrepreneurial mindset—rolling up their sleeves, acting fast, and learning together. About the Role As a Staff AI Engineer – AI Enablement Platform, you will be one of the core technical builders of the client’s AI platform. This is a deeply hands-on individual contributor role. You will be expected to write production code, design and build reusable platform services, review technical designs, debug production issues, and partner directly with product teams to drive adoption. You will also influence technical direction, establish engineering patterns, and help teams adopt the platform, but your credibility will come from building real systems, not just advising from the sidelines. This role is not focused on ML research, data science, or training models from scratch. The client is looking for a strong platform/backend engineer with deep hands-on experience building production-grade LLM systems, APIs, orchestration layers, evaluation systems, and developer-facing tools. You will help turn AI from isolated experiments into a repeatable engineering capability across the entire enterprise. What You’ll Do Build the AI platform foundations Write and ship production code for core AI platform services, APIs, orchestration components, evaluation systems, SDKs, and internal developer tools. Design, build, and operate reusable AI platform capabilities such as chat APIs, RAG services, summarization, classification, semantic search, prompt/workflow execution, and agent orchestration. Build high-quality APIs, SDKs, templates, and reference implementations that product teams can adopt with minimal friction. Create production-ready orchestration patterns for retrieval, tool use, validation, fallback handling, memory/state management, and human-in-the-loop workflows. Stay close to implementation details by reviewing PRs, debugging production issues, improving reliability, and making pragmatic technical tradeoffs with the team. Partner with SRE, Security, Platform, and Product Engineering teams to ensure the platform is reliable, scalable, secure, observable, and cost-aware. Own evaluation, reliability, and production readiness Build evaluation harnesses for LLM-powered systems, including curated test sets, scenario-based evaluations, regression checks, quality gates, and release criteria. Implement AI observability practices such as tracing, prompt/version tracking, output quality monitoring, latency tracking, token/cost visibility, and production feedback loops. Design safe defaults for AI systems, including structured outputs, tool permissions, prompt-injection awareness, data handling controls, fallback paths, and failure-mode handling. Ensure AI capabilities are built with strong production fundamentals: testing, monitoring, rollout strategy, incident readiness, performance tuning, and cost management. Help teams move from prototypes to production by identifying gaps in reliability, observability, security, evaluation, and operational readiness. Drive AI adoption across the company Establish internal standards for building production AI systems through patterns, standards, documentation, code examples, architecture reviews, and technical enablement. Work directly with product teams to help them adopt the platform, unblock implementation challenges, and turn early AI ideas into production-ready features. Lead technical design reviews and architecture forums for AI systems, ensuring teams make sound decisions around quality, safety, reliability, and maintainability. Identify repeated friction across teams and convert it into reusable platform capabilities. Help raise AI engineering capability across the company through internal demos, enablement sessions, office hours, technical write-ups, and engineering blog posts. Lead through technical influence Act as a hands-on technical leader and multiplier, not just an advisor. Set technical direction for complex AI platform areas and align stakeholders across Product, Engineering, Security, SRE, and Data. Mentor engineers on production AI engineering practices, backend design, system reliability, evaluation strategy, and AI-native development workflows. Help teams use AI-assisted engineering tools responsibly to improve development speed, testing, debugging, documentation, and iteration without compromising quality. What This Is Not Not a data science role focused on analysis, experimentation, or dashboards. Not an ML research role focused on training foundation models from scratch. Not a prompt-only role without ownership of production systems. Not building one-off AI features for a single product line. Not an architecture-only role where you primarily create diagrams, review designs, or delegate implementation to others. Not a people-management role. You will influence, mentor, and lead through technical depth, but this is an individual contributor position. What You’ll Need Significant hands-on engineering experience, typically 10+ years, with strong backend/platform engineering depth. Recent hands-on experience building and operating production backend/platform systems, with full comfort going deep into code, APIs, infrastructure, observability, debugging, and production tradeoffs. Proven experience building and shipping production-grade AI/LLM systems such as RAG, agent workflows, tool-calling systems, AI APIs, or LLM-powered product capabilities. Strong programming experience, preferably in Python and/or backend service stacks used for production APIs and distributed systems. Deep understanding of API design, service boundaries, SDKs, integration patterns, reliability, testing, observability, performance, and cost optimization. Practical experience with LLM application architecture: context engineering, retrieval patterns, tool use, structured outputs, orchestration, fallback handling, and evaluation. Ability to build evaluation and validation systems for AI applications, including golden datasets, scenario-based tests, regression checks, and quality gates. Experience deploying and operating cloud-based production systems on AWS, GCP, Azure, or similar platforms. Strong technical judgment and ability to make tradeoffs across speed, reliability, safety, cost, developer experience, and business impact. Ability to lead through hands-on technical contribution: writing code, creating reference implementations, reviewing designs, mentoring engineers, and turning ambiguous platform needs into working systems. Proven ability to influence across teams through architecture reviews, design documents, technical standards, mentorship, and hands-on partnership. And It’s Great To Have Experience building internal developer platforms, SDKs, shared services, or paved-path tooling. Hands-on experience with LLM observability/evaluation tooling such as Langfuse, LangSmith, OpenTelemetry-based tracing, or similar tools. Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration frameworks. Experience with vector databases, embedding workflows, semantic search, retrieval tuning, and RAG productionization. Experience with AI-native engineering workflows using tools like Cursor, GitHub Copilot, Claude, ChatGPT, or similar tools. Experience writing technical blogs, internal engineering guides, architecture documents, or enablement material that helps engineering teams adopt new practices. Experience leading technical standards or architecture forums across multiple engineering teams. What Success Looks Like Adoption: Product teams across the company use the AI Enablement Platform as the default starting point for AI-powered features. Velocity: Teams can move from AI idea to production feature significantly faster because reusable APIs, SDKs, templates, evals, and guardrails are already available. Trust: AI systems are observable, measurable, debuggable, and safe to operate in production. Quality: Teams have clear evaluation practices, regression checks, and release gates for LLM-powered workflows. Reuse: Repeated AI patterns become shared capabilities instead of one-off implementations across product teams. Influence: The standard way of building AI systems becomes widely understood through architecture reviews, documentation, internal demos, and engineering best practices. AI-Native Engineering: Engineering teams use AI tools and platform capabilities to improve how software is designed, built, tested, reviewed, documented, and operated. Compensation & What’s Offered Compensation Range: 420,000 PLN – 450,000 PLN annually (Base compensation). In addition to base compensation, eligible employees may be offered other forms of incentive programs where applicable. Purpose-led company with a values-focused culture (Best Life, One Team, Growth Mindset). Open PTO Policy. Days of Disconnect — quarterly collective days off globally. Parental & Pawternity Leave. Fitness Perk — quarterly reimbursement for fitness activities. Partner Discounts — access to discounts with top technology partners. Medical / Dental / Vision coverage & Employee Assistance Program (EAP). Calm App +4 Subscription — for the employee and up to 4 dependents.

Chief Technology Officer Apply now! Candidate data Chief Technology Officer About the Role The company is a mature technology organization with 10 years of market experience, 5 successful investment rounds, and backing from a PE fund. It is entering a pivotal growth phase, combining startup flexibility with professionalized enterprise processes. We are looking for a hands-on Chief Technology Officer (CTO) to take full ownership of the technology ecosystem, elevate delivery speed, and build the target IT organizational structure. Reporting directly to the Board, you will balance strategic leadership, AI-native team productivity, vendor management, and code-level architectural oversight. Core Responsibilities Tech Ecosystem & Strategy (85–90% of time): Own the entire technology ecosystem, including build-vs-buy decisions, IT budgeting, and partner/vendor integrations. Architectural Oversight & Hands-On Quality (10–15% of time): Supervise backend architecture, enforce code quality, and conduct hands-on code acceptance and reviews. AI Integration & Engineering Productivity: Implement and enforce AI-native development workflows (e.g., GitHub Copilot, Cursor, LLMs) to drastically accelerate delivery and shorten development cycles. Team Leadership & Restructuring: Audit the competencies of the current 4-developer team, optimize roles, conduct necessary hiring/restructuring, and establish structured agile sprint processes. Technical Debt & Security: Eliminate technical debt, ensure GDPR compliance, manage data security (backups, disaster recovery, vulnerability patching), and mitigate bus factor risks. Cross-Functional Alignment: Collaborate closely with the CPO, COO, Marketing, and Back Office under changing business priorities. Requirements Leadership Experience: Minimum 4 years of IT leadership experience as a CTO, CIO, or mature Tech Lead with strong strategic vision. Technical Depth: Deep engineering background in Python/Django, Flutter, and system architecture to perform independent code audits and technical sign-offs. AI-Native Engineering: Practical experience implementing modern AI-assisted tools for coding, testing, and team process automation. Organizational Execution: Sound judgment in evaluating engineering talent, paired with the determination to restructure teams and drive hiring when needed. Mindset & Communication: Goal-oriented, highly resilient under time pressure, and fluent in English (min. B2). Nice to Have Experience within PE/VC portfolio companies. Industry experience in SaaS, FinTech, Automotive, Mobile Applications, or CRM/ERP implementations. Key Milestones (First 6 Months) 30 Days: Present a full technical audit (architecture, technical debt, security) and team evaluation to the Board; unblock and finalize the pending CRM (Freshworks) rollout. 90 Days: Present the target IT team structure, execute necessary talent adjustments, and implement structured sprint reporting. 180 Days: Achieve predictable delivery velocity using AI tools, complete technical documentation, and close critical security gaps. Tech Stack & Tools Backend: Python, Django, Celery / Celery Beat Frontend & Mobile: React, Next.js, Flutter CMS & Databases: Strapi, MySQL, Redis, Nginx Infrastructure & Analytics: DigitalOcean, Amazon SES, Sentry, Looker Studio, Figma AI Engineering Tools: GitHub Copilot, Cursor, LLMs What We Offer Compensation: PLN 27,000–30,000 net per month (B2B contract). Equity: Attractive ESOP executive stock option program (annual vesting). Company Car: Toyota Corolla Sedan with full private use rights. Hardware & Work Model: BYOD policy with full expense coverage for chosen hardware; hybrid work model. Benefits: Private medical care (Medicover) and MultiSport card. Recruitment Process Initial screening with the Recruiter. Application analysis. Management, strategy, and cultural fit interview. On-site workshop (~2h): short coding task, architectural case study, and presentation of AI tool usage. Reference check. Over 60% of our candidates get invited to an interview with our Clients. Apply with the form below and we will reach out to you in the next 24h

Type of contract: Contract of Employment Working mode: Fully remote Salary: 35 – 37,5k PLN/month About Our Client Our client is a rapidly scaling global leader in Sports Tech, combining high-growth SaaS platforms with integrated payments processing ($13B+ processed annually). Having expanded from $150M to $400M in revenue with double-digit international growth across 20+ countries, they maintain a high-impact, wellness-focused culture. Company Culture & Values Best Life: Great work begins with great people. Their culture is built on respect, trust, and belonging. They create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact. Growth Mindset: They are doers, thinkers, and dreamers. Your growth is their investment. Through continuous learning, mentorship, and professional development opportunities, they empower employees to reach new heights—personally and professionally. One Team: From day one, employees are part of a team that collaborates, celebrates, and cares. They move fast, support one another, and have fun along the way. About the Team The client is building a shared AI Enablement Platform that allows every product team across the company to ship AI-powered features quickly, safely, and at scale. The goal is simple: remove the plumbing so product teams can focus on customer value instead of reinventing AI infrastructure. This platform provides the paved path for building production AI systems across the organization, including: Reusable APIs for chat, summarization, RAG, classification, and AI workflow execution. Agent orchestration patterns for multi-step reasoning, tool use, validation, and fallback handling. Evaluation and validation systems to measure output quality and prevent regressions. Observability, policy enforcement, cost controls, and production guardrails. Developer experience, documentation, templates, and reference implementations that help teams adopt AI faster. They value an entrepreneurial mindset—rolling up their sleeves, acting fast, and learning together. About the Role As a Staff AI Engineer – AI Enablement Platform, you will be one of the core technical builders of the client’s AI platform. This is a deeply hands-on individual contributor role. You will be expected to write production code, design and build reusable platform services, review technical designs, debug production issues, and partner directly with product teams to drive adoption. You will also influence technical direction, establish engineering patterns, and help teams adopt the platform, but your credibility will come from building real systems, not just advising from the sidelines. This role is not focused on ML research, data science, or training models from scratch. The client is looking for a strong platform/backend engineer with deep hands-on experience building production-grade LLM systems, APIs, orchestration layers, evaluation systems, and developer-facing tools. You will help turn AI from isolated experiments into a repeatable engineering capability across the entire enterprise. What You’ll Do Build the AI platform foundations Write and ship production code for core AI platform services, APIs, orchestration components, evaluation systems, SDKs, and internal developer tools. Design, build, and operate reusable AI platform capabilities such as chat APIs, RAG services, summarization, classification, semantic search, prompt/workflow execution, and agent orchestration. Build high-quality APIs, SDKs, templates, and reference implementations that product teams can adopt with minimal friction. Create production-ready orchestration patterns for retrieval, tool use, validation, fallback handling, memory/state management, and human-in-the-loop workflows. Stay close to implementation details by reviewing PRs, debugging production issues, improving reliability, and making pragmatic technical tradeoffs with the team. Partner with SRE, Security, Platform, and Product Engineering teams to ensure the platform is reliable, scalable, secure, observable, and cost-aware. Own evaluation, reliability, and production readiness Build evaluation harnesses for LLM-powered systems, including curated test sets, scenario-based evaluations, regression checks, quality gates, and release criteria. Implement AI observability practices such as tracing, prompt/version tracking, output quality monitoring, latency tracking, token/cost visibility, and production feedback loops. Design safe defaults for AI systems, including structured outputs, tool permissions, prompt-injection awareness, data handling controls, fallback paths, and failure-mode handling. Ensure AI capabilities are built with strong production fundamentals: testing, monitoring, rollout strategy, incident readiness, performance tuning, and cost management. Help teams move from prototypes to production by identifying gaps in reliability, observability, security, evaluation, and operational readiness. Drive AI adoption across the company Establish internal standards for building production AI systems through patterns, standards, documentation, code examples, architecture reviews, and technical enablement. Work directly with product teams to help them adopt the platform, unblock implementation challenges, and turn early AI ideas into production-ready features. Lead technical design reviews and architecture forums for AI systems, ensuring teams make sound decisions around quality, safety, reliability, and maintainability. Identify repeated friction across teams and convert it into reusable platform capabilities. Help raise AI engineering capability across the company through internal demos, enablement sessions, office hours, technical write-ups, and engineering blog posts. Lead through technical influence Act as a hands-on technical leader and multiplier, not just an advisor. Set technical direction for complex AI platform areas and align stakeholders across Product, Engineering, Security, SRE, and Data. Mentor engineers on production AI engineering practices, backend design, system reliability, evaluation strategy, and AI-native development workflows. Help teams use AI-assisted engineering tools responsibly to improve development speed, testing, debugging, documentation, and iteration without compromising quality. What This Is Not Not a data science role focused on analysis, experimentation, or dashboards. Not an ML research role focused on training foundation models from scratch. Not a prompt-only role without ownership of production systems. Not building one-off AI features for a single product line. Not an architecture-only role where you primarily create diagrams, review designs, or delegate implementation to others. Not a people-management role. You will influence, mentor, and lead through technical depth, but this is an individual contributor position. What You’ll Need Significant hands-on engineering experience, typically 10+ years, with strong backend/platform engineering depth. Recent hands-on experience building and operating production backend/platform systems, with full comfort going deep into code, APIs, infrastructure, observability, debugging, and production tradeoffs. Proven experience building and shipping production-grade AI/LLM systems such as RAG, agent workflows, tool-calling systems, AI APIs, or LLM-powered product capabilities. Strong programming experience, preferably in Python and/or backend service stacks used for production APIs and distributed systems. Deep understanding of API design, service boundaries, SDKs, integration patterns, reliability, testing, observability, performance, and cost optimization. Practical experience with LLM application architecture: context engineering, retrieval patterns, tool use, structured outputs, orchestration, fallback handling, and evaluation. Ability to build evaluation and validation systems for AI applications, including golden datasets, scenario-based tests, regression checks, and quality gates. Experience deploying and operating cloud-based production systems on AWS, GCP, Azure, or similar platforms. Strong technical judgment and ability to make tradeoffs across speed, reliability, safety, cost, developer experience, and business impact. Ability to lead through hands-on technical contribution: writing code, creating reference implementations, reviewing designs, mentoring engineers, and turning ambiguous platform needs into working systems. Proven ability to influence across teams through architecture reviews, design documents, technical standards, mentorship, and hands-on partnership. And It’s Great To Have Experience building internal developer platforms, SDKs, shared services, or paved-path tooling. Hands-on experience with LLM observability/evaluation tooling such as Langfuse, LangSmith, OpenTelemetry-based tracing, or similar tools. Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration frameworks. Experience with vector databases, embedding workflows, semantic search, retrieval tuning, and RAG productionization. Experience with AI-native engineering workflows using tools like Cursor, GitHub Copilot, Claude, ChatGPT, or similar tools. Experience writing technical blogs, internal engineering guides, architecture documents, or enablement material that helps engineering teams adopt new practices. Experience leading technical standards or architecture forums across multiple engineering teams. What Success Looks Like Adoption: Product teams across the company use the AI Enablement Platform as the default starting point for AI-powered features. Velocity: Teams can move from AI idea to production feature significantly faster because reusable APIs, SDKs, templates, evals, and guardrails are already available. Trust: AI systems are observable, measurable, debuggable, and safe to operate in production. Quality: Teams have clear evaluation practices, regression checks, and release gates for LLM-powered workflows. Reuse: Repeated AI patterns become shared capabilities instead of one-off implementations across product teams. Influence: The standard way of building AI systems becomes widely understood through architecture reviews, documentation, internal demos, and engineering best practices. AI-Native Engineering: Engineering teams use AI tools and platform capabilities to improve how software is designed, built, tested, reviewed, documented, and operated. Compensation & What’s Offered Compensation Range: 420,000 PLN – 450,000 PLN annually (Base compensation). In addition to base compensation, eligible employees may be offered other forms of incentive programs where applicable. Purpose-led company with a values-focused culture (Best Life, One Team, Growth Mindset). Open PTO Policy. Days of Disconnect — quarterly collective days off globally. Parental & Pawternity Leave. Fitness Perk — quarterly reimbursement for fitness activities. Partner Discounts — access to discounts with top technology partners. Medical / Dental / Vision coverage & Employee Assistance Program (EAP). Calm App +4 Subscription — for the employee and up to 4 dependents.

We are a team that values each other the most. If you join us, you can freely pinpoint areas for improvement, communicate your vision for both personal and organizational growth, and count on our full support. We openly share suggestions, observations, and knowledge. Every piece of feedback is an opportunity for us to learn. On a daily basis, we lead by example, share our experiences, and help each other out. Check out the job description and don't hesitate to get in touch with us. 😉 We are looking for an experienced Head of Engineering to lead a high-performing engineering organization delivering enterprise software used by millions of users worldwide. In this role, you will drive engineering strategy, execution, and organizational growth while working closely with executive leadership. You will lead multiple engineering teams through large-scale platform modernization, cloud transformation, and AI adoption, ensuring the successful delivery of business-critical products in a complex enterprise environment. What we offer: B2B: 28 000 – 37 000 PLN net/month + ESOPs ✔ Hybrid work / 2 days per week from the office in Warszawa ✔ Private healthcare ✔ Multisport card ✔ Meal and phone allowance ✔ Equipment provided ✔ Direct cooperation with executive leadership and real influence on engineering strategy Requirements: Must have: Proven experience leading engineering organizations responsible for large-scale enterprise software delivery. Strong leadership background managing multiple engineering teams and driving organizational growth. Ability to own software delivery end-to-end, from roadmap planning to successful production releases. Hands-on experience with .NET and C#, with the ability to understand and discuss complex technical solutions. Strong architectural mindset with the ability to review technical decisions, guide engineering teams, and shape technical strategy. Experience leading cloud transformation, modernization, or large-scale platform evolution initiatives. Strong stakeholder management skills with experience collaborating with executive leadership, product teams, and enterprise clients. Experience working in Agile software development environments. Excellent communication skills and fluent English. Nice to have: Experience working with financial services, banking, or other highly regulated industries. Familiarity with AI-driven software engineering practices and modern development workflows. Experience with on-premises and cloud-based enterprise platforms. Background in scaling engineering organizations during periods of rapid business growth. Tech Stack: .NET, Azure, MS SQL Server, PostgreSQL, Kubernetes, Helm, Terraform, AI-assisted Development Responsibilities: Lead and develop multiple engineering teams, ensuring high-quality software delivery and operational excellence. Take full ownership of engineering execution, from strategic planning through production delivery. Drive platform modernization initiatives, including cloud migration, architecture evolution, and technology standardization. Collaborate closely with Product, Commercial teams, and executive leadership to translate business goals into technical execution. Support engineering managers and technical leads through mentoring, coaching, and organizational development. Oversee engineering processes, delivery planning, risk management, and continuous improvement initiatives. Promote engineering best practices, software quality, automation, and AI-assisted development across the entire software development lifecycle. Participate in customer discussions, technical escalations, and strategic planning for enterprise projects. Foster a collaborative engineering culture focused on ownership, innovation, continuous learning, and business impact.

We are looking for Head of SEO & AI Search SEO is changing. It stopped being just about Google a long time ago. Today, algorithms matter. Understanding the direction of change, anticipating trends, and creating solutions that are ahead of the market are what counts. And we are looking for a person who can combine all of this. Hi! We are Insightland. A team of experts who combine SEO, AI, data, and technology, helping brands like Medicine, Tatuum, and Nice To Fit You make decisions based on insights, not hunches. We create campaigns that work, not just look good in reports. We develop our own solutions (e.g., Backlink Score AI) and look for new ways to continuously make a real impact on our clients’ business results. We are looking for a person to help us with this and permanently join our team. As the Head of SEO & AI Search, you will: Create and develop the SEO strategy and our service and product offerings. Define what is truly worth building next based on data, experience, and market needs. Ensure that SEO is a tool for achieving business goals, not just traffic growth. Support and inspire the team (mentoring, providing direction, consulting). Collaborate with the CEO and COO (who is responsible for processes and reporting) – You will focus on vision, quality, and direction. Lead strategic clients and projects where impact is key. Represent Insightland externally (conferences, webinars, publications, industry talks). Monitor and test new developments (from AI Search to automation and data integration). Who we are looking for: An SEO industry leader who knows the market, understands technology, and can explain complex things in simple language. A person who combines strategic thinking, practical experience, and a business approach (knows SEO tools in practice and follows current trends). Someone who looks broader – seeing not only visibility growth but profit for the business. A partner for clients who can lead conversations about goals, revenue, and development directions. A person who acts with courage, authenticity, and responsibility. A leader who delivers results, thinks long-term, and cares about people in the team. Someone who acts transparently, proactively, and collaboratively, Active industry participation (articles, presentations, podcasts, mentoring) and knowledge of AI trends and applications in SEO are welcome. What we offer: Real impact on the development of services and the direction of the entire SEO area. Salary of 12,000 – 15,000 PLN net (B2B). Freedom of action, minimum formalities, and full trust in your expertise. A team of experts in SEO, analytics, AI, and content who create their own tools and know how to implement your ideas. Direct cooperation with the CEO and operational support from the COO, so you can focus on what is strategic and substantive. Strategic clients who expect partnership, not just a service. An environment that tests, experiments, and iterates. A culture based on courage, transparency, and partnership. Space to develop your personal brand – speaking engagements, publications, conferences. Office in the center of Wrocław: bright, spacious, pet-friendly, with a terrace, great coffee, and a place for focused work. How the process looks: Short conversation with the HR Manager Meeting with the CEO Second meeting with the CEO and COO Feedback or job offer Does this sound like the role for you? Let us know! Show us what you can do, how you think about SEO, and the future you want to give it.