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Technical Product Marketing Manager

Bright Data · San Francisco, CA, USA ·

Pay:
150.000 - 210.000
Job type:
Full Time

Responsibilities

Positioning & Messaging: Own the strategic positioning and messaging for your products. Keep it differentiated and technically accurate, and ensure consistency across all channels to improve conversion and pipeline quality.
Go-to-Market Leadership: Own 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.
Market Intelligence: Own the market, customer, and competitive intelligence for your domain - continuously gather and synthesize insights to guide GTM strategy and inform roadmap, pricing, and positioning decisions.
Agentic Growth: Contribute to our strategy and execution for discoverability and selection by AI agents - documentation, content, and integrations that make our products the default choice for agents and the developers who use them.
Sales Enablement: Own sales enablement for your products - arm customer-facing teams with the tools, the content, and knowledge needed to confidently and effectively sell and support them.
Copywriting: Write and own the copy for all related marketing and GTM initiatives - product pages, launch content, technical comparisons, and enablement materials.
Cross-Functional Contribution: Contribute to channel and campaign strategy, brand narrative and 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: you understand how software gets built - the development lifecycle, how developers evaluate and adopt tools, 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
Big plus

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

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