Technical Product Marketing Manager
Bright Data · San Francisco, California, United States
Software Development · 201-500 employees
About the role
You will own the strategic positioning, messaging, and go-to-market execution for developer-facing products to drive growth and revenue. Additionally, you will lead sales enablement, conduct market intelligence, and contribute to the strategy for AI agent discoverability.
What they look for
Requirements
The role requires 3+ years of experience in product or technical marketing, specifically with API-first or developer-focused products. Candidates must possess strong technical fluency, excellent writing skills, and an analytical mindset to manage funnel metrics and cross-functional programs.
Full description
We are looking for a Technical Product Marketing Manager to take our developer-facing products to market. You will own positioning, messaging and go-to-market for these products, and orchestrate programs, motions, and campaigns across multiple channels to drive meaningful growth. Your work will directly influence revenue KPIs as well as product roadmap and priorities.
This is a hands-on role. You should be comfortable reading documentation, running an API call, and testing the products you market from the user’s perspective.
What you'll bring
- 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
[6:36 AM]
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, 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
