Own the product marketing narrative for AI agents, turning complex agent-architecture into market motion that moves technical buyers and builders.

• Define and own Amplitude’s point of view on agent analytics—what “good” looks like, how teams should evaluate agents, and why behavioral data is critical to improving real-world outcomes (not just model benchmarks)
• Turn deeply technical concepts into market-shaping narratives—connecting agent architecture (LLM evals, context engineering, tracing, orchestration) to business impact
• Lead 0→1 launches for agent capabilities—building positioning, demos, and technical deep-dives that reflect how teams actually build today using tools like Cursor, Claude Code, LangChain, and internal eval frameworks
• Create proof that moves skeptical, technical buyers— Work with customers to establish best practices and learnings that drive adoption. Turn customer feedback from AI builders, startups, and enterprise teams into stronger signals for the product roadmap. Build the case studies and best practices that drive adoption.
• Build and iterate GTM motion for the builder audience—reaching AI-native builders where they are (developer communities, Discord, X, hackathons), testing hands-on experiences over static content, and refining based on what actually drives adoption
• Act as the connective tissue between Product, Engineering, and GTM—bringing back insights from teams building with tools like OpenAI, Anthropic, and custom agent stacks to influence roadmap and positioning