Senior Fullstack Engineer (Insights)

The opportunity The 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 career The 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 build This 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 AGENTS.md 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 syst ... (truncated, view full listing at source)