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 owning new AI product areas from conception to adoption, designing systems that integrate data capture, AI synthesis, and user workflows, and defining standards for transparent, evidence-backed AI in a high-stakes environment. Requires strong product judgment, collaboration skills, and experience shipping LLM-powered products where AI-specific concerns were daily.

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
  • 0→1 product work with scaled adoption
  • Prototyping in code
  • Working in design tools
  • Using modern AI tools (Claude, Cursor, coding agents)
  • Shipped LLM-powered products
  • Understanding of evals, prompts, latency, and model selection
  • Judgment about when not to use AI
  • Sharp prioritization and product judgment
  • SQL
  • Data analysis and metric pressure-testing
  • GM-style collaboration across eng, design, data, legal, and GTM
  • Customer obsession
  • Clear and consistent communication in high-stakes environments

Nice to have

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

What the JD emphasized

  • trust-critical product
  • transparent, evidence-backed, and always with the user in control
  • high-agency builders and high-EQ connectors
  • 7–12+ years building complex, data-rich, or workflow-heavy products, including 0→1 work that's gone past launch into measurable, scaled adoption
  • shipped LLM-powered products where evals, prompts, latency, and model selection were daily concerns
  • 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.
  • Trust-builder in high-stakes environments

Other signals

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