Senior Technical Product Manager - AI Platform
$136,000–$156,000 year
Remote · Orlando, Florida, United States or New York City, New York, United States
Job Summary
The Senior Technical Product Manager for the AI Platform will define product strategy and requirements while enabling developers through effective documentation and platform adoption. This role necessitates a blend of product ownership and technical expertise, focusing on the development and refinement of an internal AI platform that supports scalable AI-driven applications.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related technical field; Master’s preferred
- 6+ years of experience in Product Management, Technical Product Management, or Technical Program Management for developer platforms, APIs, or data ecosystems
- Strong technical fluency, including API specifications, SDK architectures, data pipelines, telemetry stacks, and AI infrastructure
- Proven success delivering platform capabilities such as APIs, SDKs, observability, or data integrations in enterprise environments
- Familiarity with AI and machine learning concepts like embeddings, vector databases, model serving platforms, evaluation benchmarks, and agents
- Experience working with cross-functional engineering and data teams managing dependencies and delivering complex initiatives
- Deep understanding of Agile practices with a focus on execution and outcomes
- Excellent analytical, problem-solving, and stakeholder management skills
- Ability to translate ambiguous requirements into clear, prioritized roadmaps
Desired Qualifications
- Experience with observability stacks (OpenTelemetry) or telemetry-driven product development
- Familiarity with AI/ML developer tools, protocols, and SDKs (e.g., LangChain, Autogen, Vertex AI, MCP, A2A)
- Background in developer experience or platform enablement focused on productivity
- Knowledge of governance and security frameworks for enterprise AI systems
- Experience working within large, matrixed organizations partnering across multiple teams
Additional Requirements
- W2 only
- Must be willing to be onsite at least four (4) days per week; onsite expectations subject to change
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