Senior Technical Product Manager

Senior Technical Product Manager, AI Platform Location: Hybrid (Lake Oswego, OR or Charlotte, NC) | Type: Full Time | Experience: 8+ years About the Role We're hiring a Senior Technical Product Manager to own the roadmap for an enterprise AI platform: the primitives, runtime, orchestration, and governance that every product team builds on top of. This is platform product management, so your customers are the application teams and AI product managers who depend on what you ship. The client is an established governance, risk, and compliance (GRC) software company whose tools help large organizations operate with integrity and protect their people. They're standing up a shared AI platform that powers agent-driven capabilities across their entire product portfolio, and this role sits at the center of it, deciding what becomes a reusable platform service and what stays in the application layer. If you've built platform products that other teams actually adopt, and you want to bring that discipline to LLM and agentic systems where the outputs aren't deterministic and the governance bar is high, this is a rare seat. What You'll Do Define and evolve the multi-horizon roadmap for the AI platform, spanning primitives, runtime infrastructure, orchestration, governance, and release controls Turn platform strategy into prioritized capability requirements and delivery milestones tied to adoption and scale Lead execution so roadmap priorities ship as reliable, production-ready platform capabilities, not one-off features Work with application teams and AI product managers to translate workflow needs into reusable platform services Define requirements for AI runtime behavior: execution reliability, scaling, tenant isolation, context assembly, and policy-aware interactions Establish orchestration primitives, intent interpretation frameworks, and safe tool-invocation patterns that application teams can build agent-assisted experiences on Set observability, evaluation, and governance standards, including execution tracing, telemetry, auditability, and evaluation-gated releases Drive alignment across engineering, security, compliance, data, and product so capabilities scale safely across the portfolio Qualifications 8+ years in technical product management, with at least 3 years in platform, infrastructure, or AI/ML environments Track record delivering platform products consumed by multiple product teams or services Strong understanding of LLM-based and agentic systems: runtime design, context assembly, orchestration patterns, and tool-using architectures Comfort defining measurable success criteria for non-deterministic AI systems Familiarity with AI governance and risk management principles in enterprise environments Experience coordinating cross-functional delivery across engineering, product, security, and compliance teams Cloud-native experience, AWS preferred A clear communicator who can turn complex technical systems into product and executive narratives Why Join Us You'll join a product organization that moves with urgency and holds a high bar for what ships, working at the intersection of AI platform engineering, AI enablement, and application teams. The work is hybrid and collaborative, with real ownership and leaders who are invested in your growth. This is a chance to define how AI gets built and governed across a portfolio that serves some of the most compliance-sensitive organizations in the world. If that kind of scale and responsibility appeals to you, it\'s worth a conversation. #J-18808-Ljbffr Socket.dev