Staff Product Manager, AI

Lattice is a unified people platform focused on building the next generation of its AI-native product suite. The Staff Product Manager will own and scale a new area of the AI-native suite, designing systems from data capture to AI synthesis while leading through ambiguity and making critical product decisions.

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
• 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
• Founder Experience or very early stage start-up experience, moving through ambiguity to make progress
• HR tech, performance management, or internal tooling experience
• Background in developer tools or structured data ecosystems