Senior/Staff Product Engineer

🏢 Summary: Backend Engineer role focused on building and operating the AI inference and orchestration systems behind a production AI assistant. The position emphasizes low-latency, high-throughput APIs, distributed-system reliability, observability and performance optimization for mobile, desktop and machine-learning integrations. Remote-first collaboration is available for a candidate working from Poland, with base salary and equity assessed individually. 🗂️ Requirements: Production backend engineering experience, High-throughput, low-latency service experience, AI inference familiarity: LLMs, embeddings, multimodal models, Distributed-systems debugging under load, Production observability and incident-management knowledge, Performance-optimization expertise, Independent delivery in ambiguous environments, Working from Poland, Working-hours overlap with immediate team 📃 Skills: Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, Embeddings, SQL, NoSQL, Kubernetes, Docker, APIs, Caching, Batching, Streaming, Logging, Alerting 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions. Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience. You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications. What you will do Build and operate backend systems serving AI-powered functionality in production. Design inference pipelines, orchestration layers and service boundaries around Machine Learning models. Take ownership of production monitoring, logging, alerting and incident response. Optimize latency and throughput across inference, caching, batching and streaming. Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems. Diagnose distributed-system issues under production load. Continuously improve system performance and reliability using real-world production signals. What we are looking for Strong backend engineering fundamentals supported by experience with production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models. Confidence debugging distributed systems under load. Understanding of production observability, incident management and performance optimization. A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration. Ability to work independently and make pragmatic engineering decisions in an ambiguous environment. What success looks like Backend systems reliably handle production AI traffic at scale with low latency and high throughput. APIs remain stable, clear and easy to integrate with frontend, mobile and Machine Learning systems. Production incidents are detected quickly, diagnosed effectively and resolved with minimal impact on users. System performance and reliability improve continuously based on real-world usage and production data. Technology stack Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with backend, Machine Learning, mobile and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience across frontend and backend systems, System design, distributed applications and API architecture knowledge, Experience with LLMs, RAG systems or AI-powered applications, Ability to own features from concept through production deployment, Pragmatic decision-making in ambiguous, fast-moving environments, Cross-functional collaboration with engineering, Machine Learning and product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, external-tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience, Frontend and backend systems experience, System design expertise, Distributed applications knowledge, API architecture knowledge, LLM, RAG or AI-powered application experience, Production deployment ownership, Cross-functional collaboration with Engineering, Machine Learning and Product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: B2B role for a senior full-stack engineer building scalable client business applications with React, Next.js, TypeScript, Node.js, and PostgreSQL. The role combines architecture, frontend and backend delivery, automated quality practices, and daily AI-assisted engineering with Claude/Codex. It offers 140–180 PLN/h net + VAT and work across multiple client projects. 🗂️ Requirements: 5+ years of commercial web-application development experience, JavaScript, TypeScript, React, Next.js and Node.js experience, Reusable AI workflows, prompts, skills or agentic solutions experience, MCP, tool-integration or multi-agent workflow knowledge, Software architecture and scalable system-design knowledge, Ability to translate business requirements into scalable technical solutions, Ability to review and validate AI-generated code, Independent work, priority management and context switching, Advanced English communication skills 📃 Skills: JavaScript, TypeScript, React, Next.js, Node.js, PostgreSQL, Playwright, Claude, Codex, MCP 🏢 Description: We’re a software house with a team of 25 professionals distributed across three countries. We focus on long-term projects and believe great software comes from ownership, strong collaboration with clients, and developers who care about the quality and business impact of their work. At the.good.code; successful software starts with understanding the business problem first. We work closely with our clients, use AI as an engineering tool rather than a shortcut, and improve the way software is designed and delivered. We focus on long-term collaboration and are looking for people who are curious, open-minded, and motivated to grow together with the business and the products we build. Interested to hear about the projects? You'll join a team building modern business applications powered by AI-assisted engineering. Your work will combine product thinking, software architecture, and collaboration with clients. Rather than focusing only on writing code, you'll use AI tools to design solutions, prepare specifications, review generated code, and help deliver scalable, production-ready software. You'll work across multiple client projects simultaneously, so being comfortable with context switching and managing priorities is an important part of this role. Tech stack: TypeScript, JavaScript, React, Next.js, Node.js, PostgreSQL, Playwright, AI: Claude, Codex, MCP, agentic workflows & reusable AI skills Salary: 140-180 PLN/h net + VAT / B2B Curious about your responsibilities? You will be: working in clients' teams as the equal team member building and developing frontend and backend features using React, Next.js, TypeScript, and Node.js designing application architecture, reusable modules and integration patterns translating business requirements into clear technical specifications for AI coding agents using AI coding agents (Claude/Codex) as part of your daily engineering workflow reviewing, validating, and improving AI-generated code building and improving AI-assisted engineering workflows, including reusable skills, prompts and testing practices contributing to software quality through automated testing, code reviews, and AI-assisted validation taking ownership of technical solutions within your area of responsibility contributing to open source libraries sharing knowledge and helping grow AI engineering practices within the the.good.code; community Ready to apply? First, check if you have: 5+ years of commercial experience building web applications experience with JavaScript, TypeScript, React, Next.js, and backend development using Node.js experience building reusable AI workflows, prompts, skills, or agentic solutions understanding of concepts such as MCP (Model Context Protocol), tool integrations, or multi-agent workflows the ability to translate business requirements into scalable technical solutions understanding of software architecture and scalable system design ability to review and validate AI-generated code rather than relying on it blindly product mindset - you understand the business context behind the features you build and actively look for better solutions ability to work independently, manage priorities, and switch context when needed critical thinking, ownership, and proactive attitude advanced English communication skills (you'll use English every day within the team and directly with international clients) We appreciate, if you have: experience building AI-powered developer tools or internal engineering platforms familiarity with Playwright or other automated testing frameworks contributions to open-source projects or active participation in technical communities willingness to travel occasionally for client workshops We value engineers who : take ownership of their work and deliver what they commit to work independently and manage their time without micromanagement care about quality instead of rushing delivery think about value and impact, not only implementation communicate clearly and work well in a remote environment raise issues early and treat feedback as part of growth enjoy collaboration and maintain a positive team attitude Keen to hear about our recruitment process? Here you go: The application form - fill it out. We really read it! 60-minute HR interview to learn about your experience and motivation 90-minute tech interview with our developers to check your practical skills 45-minute final interview with one of our Founders References check Welcome on board!

🏢 Summary: B2B full-stack engineering role for a remote AI-powered SaaS platform serving video and digital-content professionals. The position owns end-to-end delivery of new React.js and Node.js features, from concept through deployment, while contributing to engineering practices and mentoring teammates. 🗂️ Requirements: 5+ years of Full Stack Engineering experience, React.js proficiency, Node.js proficiency, Independent end-to-end solution delivery, Modern web technologies and full-stack architecture knowledge, Full SDLC experience, including deployment and maintenance, CI/CD and version-control experience, Mentoring experience, Cross-functional communication skills, English at B2 level or higher 📃 Skills: React.js, Node.js, ReactQuery, Tailwind, Fal, AWS, MongoDB, CI/CD 🏢 Description: Employer: US video production company Location: Remotely from Poland Salary:  24 050 - 38 850 PLN on B2B Cooperation model: B2B Start date: ASAP Recruitment process: 3 online steps (Async Loom Screen, Behavior with SVP, Live Case Study) Technology stack: React.js/Query, Tailwind, Node.js, Fal (most image models), AWS, MongoDB Join an innovative product company building an AI-powered platform that supports professionals in the video and digital content industry. The solution focuses on simplifying and accelerating the journey from idea to production, helping teams collaborate, plan, and execute creative projects more effectively. The product leverages advanced AI models (image, text, and video) and combines them into intelligent workflows designed for real-world collaboration. Instead of focusing only on content generation, the platform addresses key challenges in planning, coordination, and execution. We are looking for someone who enjoys ownership, moves fast, and wants to have a real impact on both product and engineering practices. Your role is: Design, develop, and deploy full-stack features for an AI-driven SaaS platform; Work closely with product stakeholders to define solutions and deliver measurable business impact; Take ownership of the full development lifecycle — from idea to production; Build and iterate on new product features (0→1 development); Ensure high quality by owning testing, validation, and release of your solutions; Contribute to improving development processes, increasing delivery speed, and reducing friction; Mentor other engineers and share best practices across the team; Collaborate in a fast-moving environment focused on experimentation and continuous improvement. Your skills and experiences: 5+ years of experience as a Full Stack Engineer; Proficiency with React.js and Node.js; Proven track record of delivering end-to-end solutions independently; Experience working in product-oriented environments with a strong focus on delivery and impact; Solid understanding of modern web technologies and full-stack architecture; Ability to work across the entire SDLC — from development to deployment and maintenance; Experience with CI/CD, version control systems, and modern development workflows; Strong ownership mindset and ability to take responsibility for delivered solutions; Experience mentoring others and contributing to team growth; Strong communication skills and ability to work in cross-functional teams; English proficiency at B2 level or higher. Nice to have: Experience working with AI/ML-based products or integrating external model APIs; Familiarity with building or scaling early-stage (0→1) products; Background in industries related to media, video, or digital content; Experience with prompt engineering or chaining AI models; Knowledge of DevOps or Product Operations practices; Proven ability to improve team delivery speed and efficiency; Interest in product thinking and experimentation; Basic design sense or experience working closely with UI/UX. Our client offers: Great opportunity for personal development in a stable and friendly large multinational company; Career growth and additional education.

🏢 Summary: Lead a new Adoption Group engineering team building zero-to-one onboarding and growth experiences that help new users discover and adopt collaborative software. The role combines people leadership, roadmap delivery, rapid experimentation, and scalable growth infrastructure in close partnership with Product, Design, Data Science, and Marketing. 🗂️ Requirements: 7+ years of software engineering experience, 4+ years managing a technical team, Growth engineering, activation funnel, or product-led growth experience, Strong full-stack web development and scalable API foundation, Ability to lead technically complex projects and develop engineers, Experience partnering with Product and Design, Curiosity about AI tools and emerging technologies 📃 Skills: APIs, Web, AI 🏢 Description: The Product Engineering team builds features end-to-end, from designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. We’re looking for an empathetic and technically experienced Engineering Manager to lead a new team in our Adoption Group focused on helping new users discover the full value of our collaborative software during their first moments in Asana. This team will move quickly, building zero-to-one product experiences that make it easier for users to explore, understand, and adopt the product — turning curiosity into long-term engagement. You’ll work closely with Product, Design, Data Science, and Marketing to optimize experiences, build rapid prototypes, and scalable systems that remove friction and highlight “aha” moments for new users. You’ll guide engineers in balancing speed and craft, creating both delightful new user flows and reliable growth infrastructure. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. Our employees in Poland are employed under a contract of employment. What you’ll achieve: Hire talented engineers and enable the team to scale smoothly Manage and enable the growth of the talented engineers on this new Adoption team Guide the articulation and execution of the team’s future roadmap and ensure the team’s work ties back into high-level business goals Set the team up for success to own several technically challenging and critical projects Coach engineers in their technical and professional development Ensure a great, reliable experience for Asana users around the globe while simultaneously enabling a rapid pace of development and iteration Work and learn alongside great peer managers with a strong sense of team, contributing to overall culture of Engineering and our growing Warsaw office About You: 7+ years of experience in software engineering, including 4+ years managing a technical team Proven success working within growth engineering, activation funnels, or PLG (Product-Led growth) Strong technical foundation (e.g., full-stack web development, scalable APIs, etc) and excited to partner with Design and Product on both large new features and daily, small product enhancements. Focused on maximizing impact for yourself, your team, and Asana as a whole Equipped with the intelligence, empathy, integrity, and technical chops required to quickly earn the trust of a technically astute team Comfortable with ambiguity; you enjoy figuring out what needs to be done—and then doing it Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer: Generous, transparent and fair compensation system Contract of Employment ( and the option of 50% tax deductible costs for author’s rights usage in respect of  applicable roles ) Health insurance with dental and travel coverage (Lux Med) Meals reimbursement on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness reimbursement Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 39,583 - 50,417 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

🏢 Summary: Senior Frontend Engineer role building enterprise AI interfaces and production Next.js applications with complex state, real-time functionality, and scalable frontend architecture. The position is fully on-site in Warsaw city centre, five days per week, with responsibility for UI quality, performance, accessibility, and enterprise-grade features. 🗂️ Requirements: Work on-site in Warsaw city centre 5 days per week, 5+ years of frontend development experience, 3+ years of React and TypeScript experience, Production Next.js experience, App Router and Server Components expertise, SSR, SSG and CSR knowledge, Complex state-management experience, Real-time and multi-tenant application experience, AI or LLM interface experience, Frontend performance and Core Web Vitals expertise, Accessibility, localization and frontend security knowledge, Experience handling sensitive data, Experience using AI coding assistants 📃 Skills: React, TypeScript, Next.js, SSR, SSG, CSR, LLM, AI, CoreWebVitals, Accessibility, Localization, Security, Claude, Codex, Copilot 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and processes real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a Senior Frontend Engineer who enjoys building high-quality user interfaces for enterprise AI products. In this role, you will design and build important frontend features, solve complex UI problems, and improve the user experience over time. You will take ownership of frontend architecture and help build production Next.js applications with complex state management, real-time AI features, and enterprise functionality. The position is based in Warsaw and requires working from the office. Responsibilities Design and build production Next.js applications that support complex state, high traffic, and real-time AI features. Create user interfaces for AI-powered tools, including streaming AI responses, semantic search, knowledge graphs, and AI agents. Build and improve our component library and design system to keep the user experience consistent, accessible, and reusable. Deliver enterprise features such as localization, accessibility, browser compatibility, and security. Monitor applications after release, improve performance, reduce bundle size, track Core Web Vitals, and help systems scale. Maintain high engineering standards through code reviews, testing, and mentoring other developers. Requirements More than 5 years of frontend development experience, including at least 3 years working with React and modern TypeScript. Strong experience building production applications with Next.js, including App Router, Server Components, and understanding SSR, SSG, and CSR. Experience managing complex application state, including real-time updates, optimistic UI, multi-tenant systems, and large amounts of data. Experience building AI or LLM-based interfaces such as chat applications, streaming responses, or semantic search. Strong knowledge of frontend performance and experience improving Core Web Vitals in large applications. Good understanding of accessibility, localization, security, and enterprise application standards. A security-focused approach and experience working with sensitive data. Strong product thinking and the ability to improve user experience without waiting for detailed designs. Experience using AI coding assistants as part of your daily development work. Good written and spoken communication skills and the ability to explain technical decisions clearly. Nice to have Experience with React Flow, Highcharts, or other data visualization libraries. Experience building vector search, RAG, generative AI, or semantic search interfaces. Basic knowledge of Node.js or Python to understand backend code and APIs. Experience contributing to design systems or open-source UI libraries. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team has strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Lead an international multidisciplinary engineering team delivering and modernizing recruitment technology, including business-critical document-parsing systems and AI-driven solutions. The hybrid role combines people management, delivery ownership, and technical leadership across global product and engineering stakeholders. 🗂️ Requirements: 2+ years leading software engineers as an Engineering Manager, Software Development Manager, Technical Lead, or similar, Experience leading agile product engineering teams, Experience managing delivery, capacity, risks, and technical priorities, Experience mentoring engineers, managing performance, and supporting career growth, Previous hands-on software engineering experience, Strong knowledge of software architecture, APIs, CI/CD, cloud environments, and modern development practices, Understanding of machine learning and LLM-based product applications, Ability to assess architecture, technical debt, quality, scalability, and engineering trade-offs, Experience working in distributed international organizations, Practical experience using AI tools in engineering or management workflows, Fluent English 📃 Skills: Python, Perl, APIs, CI/CD, AWS, MachineLearning, DeepLearning, LLMs, GitHubCopilot, Claude, Gemini, ChatGPT 🏢 Description: We are hiring on behalf of our client, a global leader in HR technology, delivering an end-to-end SaaS platform that supports the entire recruitment lifecycle. Trusted by thousands of organizations worldwide, their solutions combine cloud technology, automation, and cutting-edge AI to help businesses hire smarter, work more efficiently, and deliver better talent experiences. We are looking for a Lead/Manager to lead an international team of Software Engineers, AI Engineers, and Data Analysts. This is primarily a people leadership and delivery role with a strong technical component . You will coach the team, drive predictable execution, partner with Product and Engineering leaders across Europe and North America, and help modernize a technology stack that combines legacy systems with AI-driven solutions. Key takeaways: Stack: Python, Machine Learning, Deep Learning, LLMs, APIs, CI/CD, AWS, leadership experience Salary: 23 000 PLN - 28 500 PLN gross on the Contract of Employment Working model: hybrid - 3x weekly from the office Location: Krakow Recruitment process: A call with Motife recruiter (30 min) Criteria Cognitive Aptitude Test (30 min) Hiring Manager Interview (30 min) Technical Interview (90 min) Responsibilities: Team Leadership Lead and support a multidisciplinary engineering team of up to 11 Software Engineers, AI Engineers, and Data Analysts. Coach team members through regular 1:1s, structured feedback, performance reviews, and individual development plans. Build a high-trust environment based on transparency, ownership, constructive feedback, and continuous development. Delivery & Engineering Excellence Own sprint execution, workload planning, delivery predictability, and proactive risk management. Partner with engineers and architects to maintain software quality, address technical debt, and improve engineering processes. Ensure the team balances new development with the stability and maintainability of business-critical parsing systems. Product & Global Collaboration Partner with Product Managers and Product Owners to refine priorities, assess technical complexity, and translate business needs into achievable engineering plans. Coordinate with engineering leaders and stakeholders across Europe and North America. Ensure engineering initiatives contribute directly to customer value and wider business objectives. AI & Technology Modernization Guide the evolution of document-processing technologies combining Perl, Python, machine learning, deep learning, and LLM-based approaches. Drive practical adoption of AI tools across engineering, testing, development, and team workflows. Identify opportunities to modernize legacy solutions without compromising reliability or operational performance. Requirements: Leadership Experience 2+ years of experience as an Engineering Manager, Software Development Manager, Technical Lead, or similar role with direct responsibility for software engineers. Proven experience leading agile product engineering teams and managing delivery, capacity, risks, and technical priorities. Strong track record of mentoring engineers, managing performance, and supporting career progression. Technical Expertise Previous hands-on software engineering experience and the technical depth required to effectively manage experienced engineers. Strong understanding of software architecture, APIs, CI/CD, cloud environments, and modern software development practices. Good understanding of machine learning and LLM-based technologies and how they can be applied within software products. Ability to discuss architecture, technical debt, software quality, scalability, and engineering trade-offs with senior technical stakeholders. Collaboration & Mindset Experience working in distributed, international organizations, ideally across European and North American time zones. Strong ownership mindset with the ability to communicate risks clearly and make pragmatic decisions. Practical experience using AI tools such as GitHub Copilot, Claude, Gemini, or ChatGPT within engineering or management workflows. Fluent English and strong written and verbal communication skills. What we offer: Medical care Life insurance Multisport Apply now If you combine strong people leadership with solid engineering judgment and an interest in practical AI adoption, we’d like to hear from you! Apply via our careers page and please submit your CV in English.