- 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.
- 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.
- 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.
- Take full ownership of features and platform capabilities, working across backend (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 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.
- Have 5+ years of professional engineering experience
- 4+ years of professional experience building and maintaining production systems at scale.
- Strong backend development skills in Kotlin or Java, with experience in 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 working on authentication, permissions, observability, or similar foundational concerns.
- 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.
- Frontend: TypeScript, React, GraphQL
- Backend: 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
- Full Tech Stack
- People feel empowered, supported, and included
- Trust and transparency are built into the way we work
- Creativity, curiosity, and continuous improvement are encouraged and nurtured every day
Top Skills
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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