Staff Frontend Product Engineer

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 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 outputCollaborate 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. Salary range (annual, CZK): 2,295,000 - 3,305,000. To give you a realistic picture of where you'd likely land, here's how our current L4 engineers are distributed across the salary band. Where most of our L4s sit: Q1 (2.3M - 2.55M) Q2 (2.55M - 2.8M) Q3 (2.8M - 3.05M) Q4 (3.05M - 3.3M). Current distribution: Q1 – 33% Q2 – 27% Q3 – 33% Q4 – 7%. The role We are looking for a Frontend Engineer to help with our migration from the legacy design system to Spark UI — the component system behind Productboard Spark and Productboard Platform, built to be as legible to agents as to people. The goal is to finish it by the end of the year. You'd shape the primitives, contracts, and docs that let anyone — engineer, PM, or agent — assemble a production interface without reinventing it. Every surface we ship runs through it. Done right, PMs and designers prototype in an afternoon, engineers stop rebuilding the same table, and quality stops being a thing we inspect for at the end. You don't make one team faster — you change how fast the whole org ships. How we work We've moved away from the 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 5+ years of experience building web apps.Experience with single page applications built with JavaScript and React.Experience with our favorite approaches and frameworks is always welcome (TypeScript, Continuous and Progressive Delivery with Feature Flags).A solid understanding of functional programming principles.Confident designing frontend architecture and passionate about performance.Experience mentoring and helping teammates, doing code reviews and pair-programming.Drive to have the editor and tooling set up perfectly.The initiative to fix something that's broken, rather than waiting for someone else to do it.Able to win a debate on tabs vs. spaces conducted entirely in English.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. 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, BraintrustFrontend: TypeScript, React, Relay, GraphQLBackend: Kotlin, Ruby (legacy services we're modernizing), with new services built in KotlinStorage: PostgreSQL, MongoDB, Elastic, RedisData pipeline: Python, Keboola, Looker, SnowflakeInfrastructure: AWS, Cloudflare, Kubernetes, Terraform Our Benefits Include Stock options MacBook + 34″ monitor Work from home stipend to support your home office setup 5 weeks of vacation + 9 sick days Flexible working hours and home office Budget for online courses, books, and conferences 2 weeks of fully paid parental leave Fertility & Family-Building Support with Carrot Mental Wellness Program with Soulmio to support your well-being and self-care 1 Volunteer Day per year to support causes close to your heart, plus donation matching from Productboard Free snacks, drinks, and yummy catered lunches from White Circus at the office every day Free MultiSport card On-site bouldering wall, boxing bag, and workout mats Team events, such as happy hours, off-sites, and retreats Free year-round access to Prague Zoo Relocation Opportunities If 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 Support We 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. 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. 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