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About the Role
Own positioning, messaging, and go-to-market for developer-facing products. Drive growth through orchestrated programs, motions, and campaigns across multiple channels, directly influencing revenue KPIs, product roadmap, and priorities. Requires hands-on testing of products from a user perspective.
Responsibilities
- Own strategic positioning and messaging for products, ensuring differentiation, technical accuracy, and channel consistency 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 to drive pipeline and revenue.
- Gather and synthesize market, customer, and competitive intelligence to guide GTM strategy and inform roadmap, pricing, and positioning.
- Contribute to strategy and execution for discoverability and selection by AI agents through documentation, content, and integrations.
- Own sales enablement for products, providing customer-facing teams with necessary tools, content, and knowledge.
- 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
- 3+ 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, understanding the development lifecycle, developer tool evaluation and adoption, AI ecosystem, and the role of coding agents and modern coding environments.
- Strong English writing skills, clear, concise, and precise for both technical and business audiences.
- Analytical mindset, comfortable with funnel metrics, adoption data, and win/loss analysis.
- Hands-on development experience is a strong advantage.
- Background in AI/ML data ecosystems (training data, RAG, agents, MCP) is a plus.
- Experience with both self-serve (PLG) and enterprise sales motions is a plus.
Skills
- Product Marketing
- Technical Marketing
- Go-to-Market Strategy
- Positioning
- Messaging
- API-first products
- Data products
- Infrastructure products
- Developer tools
- Cross-functional program management
- Product Management
- Sales
- Growth Marketing
- DevRel
- Technical Fluency
- Software Development Lifecycle
- Developer Tool Adoption
- AI Ecosystem
- Coding Agents
- Modern Coding Environments
- Writing
- Analytical Skills
- Funnel Metrics
- Adoption Data Analysis
- Win/Loss Analysis
- Hands-on Development
- AI/ML Data Ecosystems
- Self-serve (PLG) sales
- Enterprise sales
Experience Level
- 3+ years