Senior Fullstack Engineer (Insights)

Productboard Zobrazit všechny práce

  • Praha
  • Trvalý pracovní poměr
  • Plný úvazek
  • Před 1 měsícem
AI Is How We WorkProductboard is an AI-first company. Not as a tagline — but as a daily reality.Everyone here, from Design and Product to Engineering and our CEO, uses AI every day to prototype, explore ideas, and ship faster. We are investing deeply to make AI part of our foundation.What that looks like:
  • Access from day one. Every engineer and leader gets the best tools available — Cursor, Claude Code, Codex, and more.
  • AI Champions across teams. Dedicated experts embedded in teams to pair, unblock, and help you move faster with AI agents.
  • A codebase built for agents. Structured AGENTS.md files, curated skills, and clean patterns so AI agents can work effectively alongside engineers.
  • Serious investment in DevX. We continuously improve our developer tooling so testing, prototyping, and working with agents is seamless.
  • Dedicated AI days. Every six weeks, Engineering, Product, and Design teams get focused time to ship real features using AI tools and push boundaries.
AI isn’t something we experiment with occasionally. It’s how we build.The opportunityThe way software is built is changing, and fast! Engineers who embrace AI-native workflows today will define the next decade of product development. Those who don’t? They will be explaining what they used to do.At Productboard, this transformation to being AI native is not a side project; it is our entire focus. AI first is our operating model, and this is how we work. We are building an AI-first Product Engineering organization where learning velocity matters as much as shipping. Our northstar: turn ideas into validated learning twice as fast. More experiments. Tighter feedback loops. Better outcomes.We are looking for a Senior Full-stack Product Engineer who wants to be at the center of this transformation, not watching it happen from the outside. Join us, and help shape the future of AI-powered product development.This role will be based in our Prague or Brno office with an office-centric hybrid schedule.Why this matters for your careerThe gap between engineers who are building with AI daily and those who are still watching is widening fast. At Productboard, you won't just use AI tools. You will shape the architecture that makes AI agents effective, define the workflows that make them reliable, and build the evaluation systems that make them trustworthy. You will work in an environment where AI first is not a future aspiration. It is the current standard.The skills you build here, agent native design, multi-model orchestration, eval-driven development, AI-ready codebase architecture, are the skills that will define senior engineering for the next decade.AI is how we buildThis is not a tagline. It is our daily operating model across Engineering, Product, and Design. PMs and designers don't just spec features here. They prototype with AI tools and ship to production alongside engineers.AI is embedded across the full lifecycle: technical discoveries, spec writing, design exploration, implementation, test generation, code review, CI/CD, and incident resolution. Human judgment stays in control. People own product intent and quality decisions, with strong review practices and guardrails that keep shipping safe.What you get from day one:
  • Every engineer and leader gets access to the best AI tools available: Cursor, Claude Code, Codex, Glean, and more.
  • AI Champions embedded across teams, ready to pair with you, unblock you, and help you move faster with AI agents.
  • A codebase built for agents, with structured
files, curated skills, and clean patterns that make AI coding agents effective alongside engineers. * Heavy investment in developer tooling so testing, prototyping, and working with agents is seamless and fast.
  • Every six weeks, we pause our regular roadmap and give Engineering, Product, and Design a dedicated 2 days window to build and ship real features using AI tools, pushing the boundaries of what’s possible. This is not a hackathon. What gets built goes to production.
What we are building underneath:
  • Agent native architecture standards: clear API contracts, semantic naming, and well-defined module boundaries that keep AI effective as systems grow.
  • A context infrastructure layer with repo versioned guidance that AI tools automatically load, improving the output of Cursor, Claude Code, and Codex simultaneously.
  • AI agent workflows for on-call and incident resolution: triage alerts, pull logs, surface relevant history, and suggest remediation.
  • Systematic optimization of AI code review to catch correctness, security, and maintainability issues earlier.
What you will do
  • Take full ownership of features and platform capabilities, working across backend (Python/Kotlin) and frontend (React/TypeScript) layers to deliver end-to-end solutions.
  • Lead the delivery of complex or ambiguous full-stack projects, breaking down problems, scoping technical work, and shipping iteratively.
  • Work primarily in Python and Kotlin-based services to build reliable, scalable, and maintainable internal systems.
  • Contribute to platform-wide efforts like authentication, permissions, notifications, and shared UI patterns.
  • Collaborate with product managers and designers to define technical solutions that balance speed, scope, and user experience.
  • Write high-quality, well-tested code across both frontend and backend codebases.
  • Mentor junior and mid-level engineers through pairing, design reviews, and technical feedback.
  • Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo.
  • Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints.
  • Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output.
  • Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
  • Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone.
About you
  • Have 5+ years of professional engineering experience.
  • 4+ years of professional experience building and maintaining production systems at scale.
  • Strong backend development skills in Python, Kotlin, or Java, with experience designing and evolving service-level logic and infrastructure.
  • Working proficiency in React and TypeScript, with the ability to contribute meaningfully to frontend implementation and UX polish.
  • Proven ability to own features end-to-end across backend and frontend systems.
  • Experience delivering projects iteratively in cross-functional teams.
  • Familiarity with tools like PostgreSQL, Kafka, GraphQL, and AWS.
  • Experience mentoring other engineers and helping uplift team-wide engineering quality.
  • Clear communication skills - especially when explaining technical trade-offs and collaborating across functions.
  • A pragmatic, product-focused mindset - you care about delivering impact, not just elegant code.
  • Bonus: Experience building AI agents, with familiarity with frameworks such as Pydantic AI, LangGraph, AutoGen, or CrewAI.
  • Bonus: Curiosity to explore AI-based tooling for accelerating backend/frontend development or automation
  • Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically.
  • Embrace AI as a daily tool in your own workflow. You use AI coding assistants, iterate on prompts, and constantly look for ways to move faster.
  • Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale.
Our Tech Stack
  • You’ll work with the following frameworks, tools, and languages:
  • Frontend: TypeScript, React, GraphQL
  • Backend: Python, Kotlin, Ruby, Kafka
  • Storage: PostgreSQL, MongoDB, Elastic, Redis
  • Data Pipeline: Python, Keboola, Looker, Snowflake
  • Infrastructure: AWS, Cloudflare, Kubernetes, Terraform
  • Business tools: Slack, Jira, Google suite, Zoom, Notion
Our Benefits Include💰Stock options💻 MacBook + 34″ monitor📚 Budget for online courses, books, and conferences🏝️ 5 weeks of vacation + 9 sick days🫶 Volunteer Days for you to help causes close to your heart🥕 Fertility Benefits🥗 Free snacks, drinks, and yummy catered lunches🏋️‍♂️ MultiSport card to access sports facilities⏰ Flexible working hours and home office🧑‍🧑‍🧒‍🧒 Parental benefits🗣️ Language lessons🍀 Mental Wellness Program to support your well-being and self-careRelocation OpportunitiesIf joining us means making a move, we’re here to help make that transition easier.Candidates must have the legal right to work in the EU. While we are unable to provide visa sponsorship for this role, we’re happy to support relocation to Prague for candidates already authorized to work in the EU.Relocation SupportWe offer a one-time relocation bonus ranging from $6,000 to $13,000 USD, depending on your personal situation, whether you’re moving on your own or with a partner or family.This bonus is intended to help offset moving expenses and support your transition into your new city. While it may not cover every cost, it provides meaningful financial support as you get settled.If you’re thinking about relocating and want to explore what this could look like for you, we’d be happy to have that conversation.

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