Senior Principal Technical Program Manager - Agent Infrastructure

What you'll do

• Define platform strategy, developer experience, API standards, SDKs, runtime guardrails, and adoption pathways.
• Coordinate multi-quarter AI architecture roadmaps and large-scale platform migrations while maintaining reliability and operational excellence.
• Drive AI cost efficiency, enterprise trust and compliance readiness, leadership alignment, and TPM mentorship.

What they ask for

• 12+ years of experience in Technical Program Management, Platform Product Management, or Distributed Systems Engineering, including 4+ years focused on AI/ML platforms or high-scale developer platforms.
• Strong working understanding of LLM architectures, agent execution loops, context-window management, RAG, embeddings, and semantic memory systems.
• Demonstrated success treating APIs, developer tools, and shared runtimes as products measured by adoption, developer velocity, and platform health.
• Ability to engage with distributed-systems concepts and turn ambiguous problem spaces into technical roadmaps, RFCs, and decision frameworks.

Nice to have

• Experience with agent-tool protocols such as MCP or OpenAPI-based ecosystems, and familiarity with LLM evaluation, benchmarking, or red-teaming.
• Background in multi-cloud deployments, enterprise data compliance, or software engineering and API development.

Pay

$235,800 - $307,850 USD base salary; $212,220 - $277,065 USD base salary; $195,714 - $255,516 USD base salary

Tools

LLM, Retrieval-Augmented Generation (RAG), MCP, OpenAPI, AWS, GCP, Azure, REST/gRPC/GraphQL

AI focus

Leads conversational AI and agent platform strategy, including agent execution, semantic memory, tool orchestration, model routing, inference cost optimization, and AI safety and compliance.