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Productboard is the intelligent product management platform that helps future-ready product teams drive strategic alignm
The Role
Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.
Summary Generated by Built In
Only the best engineers are being built here.
At Productboard, we are defining AI-first Product Engineering. Not as a one-time achievement, but as a baseline we raise every time we reach it. We remove every bottleneck as it surfaces and rebuild how product teams work from first principles, not just adding AI to existing workflows.
AI tools are everywhere now. Agents can write code. That’s today’s baseline.What we're building is the environment where the baseline makes you better: focused on outcomes, writing specs that agents build from, leveling up with every feature you ship.
We are defining what AI-native product development becomes. We're all in.
What you would buildAs part of the Growth team, you’ll help people discover, try, and get value from
Productboard - from first touchpoint through onboarding, engagement, and expansion.
We ship fast, measure impact, and learn quickly.
- Build onboarding flows and in-product guides that bring users to their “aha” moment faster.
- Run AI-driven experiments (e.g. smart setup helpers, personalized onboarding, AI suggestions).
- Improve monetization flows (plan structure, upgrade nudges, communicating value).
- Work on retention features that keep users engaged and coming back.
- Lead high-impact growth experiments with product, design, and data partners.
- Advocate for scalable solutions and mentor others in growth engineering.
- 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.
The first shift in our teams has already happened: agents write code. That’s the baseline everywhere. Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping.
Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard. There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out.
Our own teams run on Productboard and Spark, so the feedback loop isn't a survey next quarter. It's the next conversation you overhear.
Imagine you ship a feature before lunch and by the afternoon, half the floor is working with it. Not in a demo, not on a roadmap slide: in our real work, minutes after you merged.
We feel the gaps our customers feel, and we close them first. Every feature goes straight to real product teams solving real problems, starting with ours.
We are looking for a Staff Full-stack Product Engineer who wants to build this from the inside.
Why this matters for your careerEngineers own more. Not just the code: the outcome it drives.
You won't just use AI tools. You will shape the architecture that makes agents effective, define the workflows that make them reliable, and build the evaluation systems that make them trustworthy.
This is where you become a pure product engineer. Someone who owns the problem, the trade-offs, and the result, not just the implementation. Every maker has an orchestra. The craft is knowing what it should play. And we never outsource our thinking.
The skills you build here (designing codebases agents can work in confidently, writing specs that carry your judgment into every build, building evaluations that catch what AI misses) will define senior engineering for the next decade. What you learn here doesn't just make you faster today. It makes you more valuable for years to come.
What you will doWe're hiring a Staff Full-stack 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.
About you- 6-10+ years of professional engineering experience (comfortable working on both frontend and backend).
- Growth mindset - you care about business impact and think in terms of activation, conversion, and retention.
- Comfort with ambiguity - you experiment, learn quickly, and iterate when things don’t work right away.
- Cross-functional experience - worked closely with PMs, designers, and analysts to ship features that solve real problems.
- 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).
- 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
Salary range: 2,295,000–3,305,000 CZK annually
- Where most of our L4s sit:
- Q1 (2.3M–2.55M) · 33%
- Q2 (2.55M–2.8M) · 27%
- Q3 (2.8M–3.05M) · 33%
- Q4 (3.05M–3.3M) · 7%
- 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
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 ProductboardProductboard 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
Skills Required
- 6-10+ years of professional engineering experience
- Professional experience working across both frontend and backend engineering
- Growth mindset focused on activation, conversion, retention, and business impact
- Ability to work comfortably with ambiguity, experiment, learn quickly, and iterate
- Cross-functional experience collaborating with product managers, designers, and analysts
- Product thinking and ability to articulate user and business value
- Experience using AI coding assistants and iterating on prompts in daily workflows
- Curiosity about agent-native architecture, including codebases, APIs, and documentation designed for AI agents
- Strong fit for candidates with founding engineer or founder experience
- Experience building agentic systems in production or deep experience with multi-step LLM workflows, tool use, memory, and orchestration
- Legal right to work in the European Union
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The Company
What We Do
Productboard is the intelligent product management platform that helps future-ready product teams deliver exceptional products with clarity and confidence. Over 6,000 companies, including Salesforce, Autodesk, Zoom, One Medical Group, Cartier, and The Coca-Cola Company use Productboard to uncover customer needs, drive strategic alignment, and rally everyone around the roadmap. With offices in Prague and San Francisco, Productboard is backed by leading investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, and Bessemer Venture Partners. Learn more at [www.productboard.com](http://www.productboard.com/)
Why Work With Us
We believe that truly great products are not created by individual geniuses but by a great group of people that leverages everyone’s curiosity and creativity. That is why our mission at Productboard is to **make products that matter, together**. We are a global company with a stimulating, multicultural environment.
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