Bright Data
Technical Product Marketing Manager (previous developer) - NYC or San Francisco
Be an Early Applicant
Own positioning, messaging, and go-to-market for developer-facing products. Lead launches, pricing, and cross-functional programs; gather market and competitive intelligence; enable sales; produce technical copy and content; drive discoverability for AI agents; influence roadmap and revenue KPIs.
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.
*This is a hybrid position based in New York City or San Francisco*
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.
- 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, 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
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Design and deliver end-to-end AI/ML solutions for Oncology R&D, working with multimodal datasets. Partner with scientists and product leaders to prototype, iterate, and deploy decision-relevant models, document methods for transparency, and ensure solutions are scientifically grounded and usable.
Top Skills:
Python
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Lead a 10+ person marketing science team to centralize customer segmentation, programmatic media and audience strategy, marketing analytics and BI, attribution (lift and econometrics), ad operations, privacy/compliance, and martech. Build data products and automation for scalable media activation, provide reporting and insights for stakeholders and ELT, and collaborate cross-functionally to align measurement and marketing strategy.
Top Skills:
Ad OperationsAi ToolsBusiness IntelligenceCustomer SegmentationEconometric ModelingLift MeasurementMarketing AutomationMartechProgrammatic Media
3D Printing • Aerospace • Hardware • Software • Manufacturing
Design, analyze, build, and test mechanical mechanisms for spacecraft solar array deployment and articulation. Responsibilities include torque budgeting, drivetrain and bearing selection, life analysis, environmental testing, failure investigation, and cross-functional system integration. The role supports design reviews, FMEA/FMECA, NASA deliverables, and mission-critical testing for human-rated space stations.
Top Skills:
Finite Element Analysis (Fea)GevsMatlabNasa-Std-5017BNxPythonSmc-S-016Teamcenter
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
