Amplitude
Director of Product Management, AI & Growth
San Francisco +1 · Hybrid · Director · Full-time · Posted Oct 14, 2026
- Location
- San Francisco
Remote-California - Experience
- 10+ years in product management, including 3+ years leading product manager teams; 2+ years building AI products.
About the job
Leads Amplitude’s AI and growth product teams, setting strategy and execution for AI agents and related capabilities while driving customer adoption, retention, and expansion.
What you'll do
- Set the AI product vision and roadmap, including agent development and MCP/headless capabilities.
- Own growth outcomes across activation, engagement, retention, and expansion; define AI quality benchmarks and guardrails.
- Build and coach the product team, and partner across functions on AI launches, pricing, and adoption.
What they ask for
- 10+ years of product management experience, including 3+ years leading product manager teams.
- 2+ years building AI products, with recent hands-on experience shipping agentic products such as LLM-powered agents, tool use or orchestration, and MCP.
- Growth experience owning activation, engagement, or retention metrics and using experimentation and data to improve them.
- Track record launching 0-to-1 products and scaling adoption and revenue; technical depth to discuss model selection, evals, latency/cost trade-offs, and AI safety and governance.
Nice to have
- Experience with B2B SaaS, analytics, data, or martech products.
- Experience leading designers.
Pay
$228000 - $314000 USD base salary (inclusive of bonus or commission), Colorado; $254000 - $349000 USD base salary (inclusive of bonus or commission), New York City; $254000 - $349000 USD base salary (inclusive of bonus or commission), California; $$228000 - $314000 USD base salary (inclusive of bonus or commission), Washington state
Tools
AI agents, MCP, LLM-powered agents, tool use, orchestration
AI focus
Lead development and adoption of agentic products, MCP and headless capabilities; define AI quality evaluations, benchmarks, guardrails, and feedback loops; shape AI pricing and packaging.
Model-written summary · the original posting is authoritative