(Sr.) Staff Product Engineer (Frontend & Platform)

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 hiring a (Sr.) Staff Product Engineer with strong architectural thinking and meaningful frontend exposure who can help evolve our product experience and shared platform foundations. This person operates at the intersection of product strategy and technical execution, contributing to architecture decisions that enable Productboard to scale. They are a multiplier of engineers across teams, a thoughtful partner to leadership, and a pragmatic technical leader who creates clarity, reduces complexity, and drives cross-team leverage through high-impact collaboration. 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 Translate strategy into architecture. Partner with Staff Engineers and Engineering and Product Leaders to turn multi-year goals into a clear technical roadmap — especially where the frontend architecture is a key constraint or differentiator. Design the future of our frontend platform. Architect and evolve our core frontend systems: UI infrastructure, design system and component ecosystem, state/data patterns, performance and observability strategy, and developer workflows. Create leverage across teams. Build reusable patterns, libraries, and platform capabilities that enable dozens of engineers to ship safely and quickly — raising the baseline for quality, usability, and iteration speed. Lead decisions through clarity. Write and evangelize crisp RFCs / ADRs and technical narratives that make trade-offs clear, align stakeholders quickly, and reduce ambiguity across teams. Guide high-stakes execution. Step into the most critical and ... (truncated, view full listing at source)