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Productboard

Staff AI Product Engineer (Prague/Brno/Remote EU)

Reposted 7 Days Ago
Be an Early Applicant
Remote or Hybrid
2 Locations
Senior level
Remote or Hybrid
2 Locations
Senior level
As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.
The summary above was generated by AI
Only the best engineers are being built here.

At Productboard, we're building the place where AI-first engineering gets defined. Removing every bottleneck as it surfaces, we are fundamentally reimagining what's possible when AI becomes a first-class partner, not a tool. This is where product engineers learn to operate at their highest level in the AI era.

What you'd build
You'd lead the architectural work that makes our codebase AI-native. Specifically:
  • Agent-native architecture standards. Clear API contracts, semantic naming, well-defined module boundaries. The patterns that keep AI effective as our systems grow.
  • A context infrastructure layer. Repo-versioned guidance that AI tools load automatically — improving the output of Cursor, Claude Code, and Codex simultaneously.
  • Self-healing workflows for incidents. Agents that triage alerts, pull logs, surface relevant history, suggest remediation. Humans intervene where judgment matters.
  • Agent workflows that go beyond chat. Multi-step reasoning, tool use, autonomous task execution with human-gated checkpoints — for product features, not internal demos.
  • Systematic optimization of AI code review. Earlier detection of correctness, security, and maintainability issues, with the noise filtered out before it reaches a human reviewer.
The role
We're hiring a Staff Engineer to own the architectural layer that makes this real, working alongside our engineers, PMs, and designers shipping AI-first product features end-to-end. You'd ship code, set technical direction, and shape decisions about what's worth building. Your north star here will be: get from idea to validated learning twice as fast.
This role is hybrid in Prague or Brno, or remote within the EU.

How we work
We've moved away from process and toward judgment. The shift looks like this:

  • One named driver per initiative. End-to-end ownership of the outcome, the path, the decisions, and the learnings. No approval chains. The driver decides; leadership unblocks.
  • One-page pre-reads as the unit of decision. Big work starts with a brief covering the problem, expected outcome, risks, and effort. Leadership reads it and decides. No 30-slide decks. No two-week alignment cycles.
  • Continuous delivery, no quarterly planning. Roadmap committed one month out. Beyond that, AI moves too fast for longer cycles to mean anything. We ship to internal first, then beta, then GA. Validation comes from real usage.
  • PMs and designers ship to production. Not just specs and Figma. They prototype with AI tools and ship alongside engineers. PMs own what gets built and when. Engineers own how.

If you've been a founding engineer or founder, this should feel familiar. If you've been waiting for a place that operates like that at scale, this is one.

The system around you
We invest before we expect. We are actively looking for the next set of constraints to remove before they slow us down.

  • Best AI tools from day one. Cursor, Claude Code, Codex, Glean. No waiting list, no approval process. If a better tool shows up tomorrow, you get that one too.
  • AI Champions embedded on every team. Engineers (not coordinators) who pair with you, unblock you, and help you move faster with agents. Four hours every week dedicated to team enablement.
  • A codebase built for agents. Curated AGENTS.md files, repo-versioned skills, clean contracts. Continuously evaluated, not accumulating.
  • Ship It with AI days. Two days every six weeks. No meetings for ICs. Pick a real problem, try a new AI workflow, ship to production within 48 hours.
  • Knowledge that compounds. Monthly engineer-to-engineer events where we share what we're experimenting with, learning, and shipping with AI.

Who we're looking for
You ship with AI every day. You think in outcomes, not output. You can name a tradeoff you made between scope and quality and tell us why you made it. You can describe what you've stopped doing because AI made it unnecessary. You've owned features end-to-end and know what it costs to get something to GA.

Concretely, we're looking for:

  • 6-10+ years of production software engineering experience
  • Strong backend skills in Python, Kotlin, or Java, with experience evolving service-level logic and infrastructure
  • Hands-on LLM experience in real products: prompt design, context management, evaluation, real understanding of trade-offs (hallucinations, latency, cost, reliability)
  • Comfort with distributed systems and event-driven architectures (queues, async processing, service-to-service communication)
  • Daily use of AI coding tools as a core part of your workflow — pushing them, refining prompts, knowing where they break

Strong fit: Former founding engineer or founder. A 0-to-1 engineer who turns business insights into prototypes to validate ideas quickly. Someone who's built agentic systems in production, or done deep work with multi-step LLM workflows (tool use, memory, orchestration).

Our tech stack
  • AI layer: Python, Pydantic AI, Braintrust
  • Frontend: TypeScript, React, Relay, GraphQL
  • Backend: Kotlin, Ruby (legacy services we're modernizing), with new services built in Kotlin
  • Storage: PostgreSQL, MongoDB, Elastic, Redis
  • Data pipeline: Python, Keboola, Looker, Snowflake
  • Infrastructure: AWS, Cloudflare, Kubernetes, Terraform
About Productboard
Productboard is the leading intelligent product management platform, used by 6,000+ companies including Salesforce, SAP, Autodesk, and Kroger. Headquartered in San Francisco, with engineering hubs in Prague and Brno. Backed by Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer, Tiger Global, and Dragoneer.
We've spent the last decade building the foundation for how product teams work. We're now in our 0-to-1 moment again, building Productboard Spark — the AI-first, agentic experience that turns raw feedback and signals into clear problems, strong specs, and faster execution. Spark is what powers everything you'd be working on.

Benefits
  • Stock options
  • MacBook + 34" monitor
  • Budget for online courses, books, and conferences
  • 5 weeks of vacation + 9 sick days
  • Volunteer days
  • Carrot fertility benefits
  • MultiSport card
  • Flexible working hours and home office
  • Parental benefits
  • Language lessons
  • Mental wellness program
  • Free snacks, drinks, and catered lunches in our office

Relocation
If you're authorized to work in the EU and want to move to Prague or Brno, we offer a one-time relocation bonus of $6,000–$13,000 USD, depending on whether you're moving alone or with a partner or family.
We're unable to provide visa sponsorship for this role.

Are you building with us?
If the work above is what you want to spend the next chapter of your career on, apply below!

Equal Opportunity Employer Statement
We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change.

By applying you agree to Productboard's Global Candidate Privacy Policy

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