Senior Backend Product Engineer

Productboard
PraguePosted 9 March 2026

Job Description

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’re looking for a Senior Backend Product Engineer (Kotlin or a Java Engineer excited to transition to Kotlin) to join our Visualization team . You’ll work on complex features that help our customers make the best decisions for their products, ensuring that our Prioritization domains remain high-performing , flexible , and ready to support a wide array of use cases. Join us, and help shape the future of AI-powered product development. 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 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 Develop the Core Product: You'll have a significant hand in building and refining our user-facing product. Your work will directly impact our users as you ship your contributions to production regularly, ensuring the product's performance, scalability, and robustness. You’ll enjoy the freedom to direct your work and share ownership of the product. Develop Across the Entire Tech Stack: Craft robust backend systems using technologies like Ruby and Kotlin, and create intuitive frontends with React and Typescript. Your work will bridge server and client sides, making our product more efficient and user-friendly. Tackle Complex Challenges: Bring your creativity to resolve challenging technical issues and be involved in every phase of feature development – from concept to implementation and beyond. Collaborate Cross-Functionally: Work alongside product managers, designers and other partners. Your collaborative efforts will be essential in delivering impactful results and engaging in the dynamic product development process. Gain Customer Insight: Dive into customer exp ... (truncated, view full listing at source)