Staff Product Manager - AI/LLMStaff Product Manager – Developer Platforms (AI / LLM & Agentic Products)
Staff Product Manager - AI/LLMStaff Product Manager – Developer Platforms (AI / LLM & Agentic Products)
Posted 41 days ago
SENIORITY
Manager
About the role
- Qualifications / Experience / Technical Skills 7+ years in product management, including owning a developer-facing product or platform end-to-end — from defining the vision to shipping and iterating
- Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution)
- Experience driving adoption with external developers, including improving key stages of the funnel: discover try activate scale
- Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows
- Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs)
- Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions
- Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability)
- Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed
- Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks such as LangChain, LlamaIndex, or similar
- Experience with integration, automation, or MLOps platforms
- Active participation in developer communities through writing, speaking, or open-source contributions
- Soft Skills / Personal Characteristics
- A strategic thinker who can connect technology with business impact and craft a compelling product narrative
- Excellent leadership and communication skills, with the ability to influence and align cross-functional teams
- Comfortable with ambiguity and rapid iteration, thriving in fast-paced, innovative environments
- Define and champion the product vision, strategy, and roadmap for the client's AI and LLM-focused developer products
- Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success
- Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback
- Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications
- Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision
- Lead competitive intelligence and market analysis to identify emerging trends and stay ahead in AI developer tooling
- Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders
- Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement
- Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
