Staff Product Manager leading AI-native suite development at Lattice. Owning product scaling from early stages to broad adoption.
Responsibilities
Own and scale a new area of our AI-native suite, from early product to broad adoption.
Design systems, not features — the full loop from data capture to AI synthesis to workflows like reviews and calibration.
Define what good AI looks like in a trust-critical product: transparent, evidence-backed, user in control.
Partner deeply with Reviews, Grow, and Calibration so this becomes core to Lattice.
Lead through ambiguity and own the hardest product questions.
Requirements
7 to 12+ years building complex, data-rich, or workflow-heavy products.
A builder mindset: you’re comfortable prototyping, working in design tools, and using modern AI tools (e.g., Claude, Cursor, coding agents) to accelerate how you work.
A strong bias toward execution and iteration - you value getting real products in front of users and learning quickly.
Excellent prioritization skills; you can identify the highest-leverage opportunities and focus teams accordingly.
High agency, ownership and initiative - you proactively identify what matters most and move it forward.
Experience building 0→1 product, ideally in fast-moving AI-first environments and demonstrating real impact.
Bonus points if the product was AI-native from day one — where latency, evals, prompts, and model selection were daily concerns, not abstractions.
Experience taking products beyond launch and driving meaningful and measurable scaled adoption.
Strong customer obsession. You stay close to customers and their needs shape your decisions.
Strong product judgment. You have a clear perspective on quality, trust, and user experience, and can defend it.
AI/ML experience (especially LLMs), both in products you've shipped and in the tools you use to do your own job, plus judgment about when not to use AI.
GM-style collaboration across eng, design, data, legal, and GTM. You make the people around you better.
Comfort with data. You can write your own SQL, read a dashboard, and pressure-test a metric without waiting for an analyst.
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