marketing
Posted Apr 27Principal Product Marketing Manager, Agents
at Amplitude
San Francisco, United StatesOn-site
Responsibilities
- 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)
- 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 audienc e—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
Requirements
- Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences.
- With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever.
- Amplitude is building analytics for the agent era.
- You’ll partner closely with Product, Engineering, and GTM teams to turn complex systems into narratives that actually land—and evolve them as fast as the market does.
- 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
- Experience working with AI-native products, developer tools, and a point of view on where this space is going
- Strong technical curiosity (and ideally fluency) in areas like LLM evals, agent architecture, and context management
- A bias toward building over talking—you’d rather ship a demo, test it with real users, and iterate than debate messaging in a doc
- experience in developer tools, AI/ML, or highly technical products •
- Experience leading product launches and driving cross-functional alignment across Product, Engineering, Sales, and Customer Success