Staff Product Manager, AI

Lattice Lattice · Enterprise · Canada, Remote - U.S. · Product

Staff Product Manager to build the next generation of Lattice's AI-native product suite, focusing on trust-critical applications like performance reviews and compensation. The role requires a blend of product building, AI-native instincts, and strong collaboration skills.

What you'd actually do

  1. Own a new area of our AI-native suite, from early product to broad adoption.
  2. Design systems, not features - the full loop from data capture to AI synthesis to workflows like reviews and calibration.
  3. Define what good AI looks like in a trust-critical product: transparent, evidence-backed, user in control.
  4. Partner deeply with Reviews, Grow, and Calibration so this becomes core to Lattice.

Skills

Required

  • 7–12+ years building complex, data-rich, or workflow-heavy products, including 0→1 work that's gone past launch into measurable, scaled adoption.
  • Builder fluency. You're comfortable prototyping in code, working in design tools, and using modern AI tools (Claude, Cursor, coding agents) to accelerate your own work.
  • AI-native instincts. You've shipped LLM-powered products where evals, prompts, latency, and model selection were daily concerns, not abstractions — plus judgment about when _not_ to use AI.
  • Sharp prioritization and product judgment.
  • Comfort with data. You write your own SQL, read a dashboard, and pressure-test a metric without waiting for an analyst.
  • GM-style collaboration across eng, design, data, legal, and GTM.
  • Customer obsession.
  • Trust-builder in high-stakes environments.

Nice to have

  • 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.

What the JD emphasized

  • AI-native product suite
  • trust-critical product
  • shipped LLM-powered products where evals, prompts, latency, and model selection were daily concerns

Other signals

  • AI-native product suite
  • LLM-powered products
  • trust-critical product