Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

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