Technical Product Marketing Manager - NYC or San Francisco

We are looking for a Technical Product Marketing Manager to take our developer-facing products to market. This is a hybrid position based in New York City or San Francisco.

Responsibilities

• Own the strategic positioning and messaging for your products, ensuring it is differentiated, technically accurate, and consistent across all channels to improve conversion and pipeline quality.
• Lead go-to-market and launch strategy, planning, and execution—including commercial decisions on pricing, packaging, and promotions—aligning teams across the company to drive pipeline and revenue.
• Own market, customer, and competitive intelligence for your domain, continuously gathering and synthesizing insights to guide GTM strategy and inform roadmap, pricing, and positioning decisions.
• Contribute to strategy and execution for discoverability and selection by AI agents, including documentation, content, and integrations that make our products the default choice for agents and developers.
• Own sales enablement for your products, equipping customer-facing teams with the tools, content, and knowledge needed to confidently and effectively sell and support them.
• Write and own copy for all related marketing and GTM initiatives, including product pages, launch content, technical comparisons, and enablement materials.
• Contribute to channel and campaign strategy, brand narrative, thought-leadership themes, and partner and ecosystem programs.

Requirements

• 5+ years in product marketing or technical marketing, ideally for API-first, data, infrastructure, or developer tools products.
• Proven experience taking technical products to market and running cross-functional programs involving Product, Sales, Growth, and DevRel teams.
• Technical fluency: you understand how software gets built—the development lifecycle, how developers evaluate and adopt tools, the AI ecosystem, and the role of coding agents and modern coding environments in day-to-day development work.
• Strong writing skills in English—clear, concise, and precise—for both technical and business audiences.
• Analytical mindset: comfortable with funnel metrics, adoption data, and win/loss analysis.

Qualifications

• Hands-on development experience—a current or former developer is a strong advantage.
• Background in AI/ML data ecosystems (training data, RAG, agents, MCP).
• Experience with both self-serve (PLG) and enterprise sales motions.