Principal Technical Product Manager

Optum’s Enterprise AI Platforms team (Chief AI Office) is seeking a Principal Technical Product Manager to lead a commercial AI platform from strategy through execution.

Responsibilities

• Own product strategy, roadmap, and measured outcomes for a commercial AI platform, including PHI-ready model access with favorable inference economics
• Define and evolve the capability gateway that enables licensed intelligence to be invoked from any approved agent or application
• Own the agent runtime that agents run on as part of the platform offering
• Set the commercial shape of the platform, including what ships as a product vs what is delivered as a service
• Create SKU and tier definitions, entitlement models, metering, and pricing mechanics designed to maintain margin as underlying inference costs change
• Convert client demand, market signals, and internal partner input into a single prioritized backlog
• Write technical requirements at an engineering level: API and tool contracts, schemas, versioning and deprecation policy, conformance expectations, and SLOs
• Treat developer experience as a product concern, with metrics for time to first successful call, documentation and reference implementation quality, sandbox and test data access, and support and escalation paths
• Build and defend the business case, including value narrative, addressable demand, and TCO plus margin model
• Express unit economics per completed unit of work rather than per token, and carry the business case through the capital funding process
• Define instrumentation and product measures (adoption, reuse depth, time to value, quality and latency SLOs, cost per task, retention) and use them to advance or retire roadmap items
• Partner with engineering on build/buy/partner/adopt decisions for platform components, owning the commercial case, roadmap impact, and total cost of ownership while engineering owns technical assessment
• Communicate trade-offs to senior leaders
• Collaborate with security, privacy, legal, compliance, and regulatory teams to embed PHI handling, tenant isolation, BAA and data processing terms, model risk documentation, and residency commitments into the product definition
• Coordinate go-to-market with sales, client engineering, forward-deployed engineering, and operations: positioning, pricing approval, sales enablement, contracting patterns, client onboarding runbook, and the support/service-level model the platform can honor
• Ensure commitments are delivered on time and on budget by identifying and resolving risks and issues, and making scope decisions explicitly
• Work with enterprise AI platform product leaders to keep the commercial offering an extension of the enterprise platform, not a fork, enabling shared capabilities to be built once and consumed in both directions
• Use influence to build cross-functional alignment across engineering, design, architecture, and business stakeholders, representing the platform credibly to senior leadership and directly to clients

Requirements

• Bachelor’s degree in a technical field (or equivalent experience)
• 8+ years of technical product management experience, including platform, cloud, or SaaS products
• 5+ years creating product roadmaps from conception to launch, driving product vision, defining go-to-market strategy, and leading design discussions
• 3+ years leading teams with diverse backgrounds in a technical organization
• Experience owning an API-first or platform product consumed by other engineering teams or external developers, including interface contracts, versioning, and deprecation
• Experience defining or launching products with security, privacy, or regulatory constraints
• Working fluency with AI/ML and LLM-based systems: retrieval-augmented generation, tool and function calling, agent orchestration, and evaluation
• Ability to explain complex technical results and trade-offs to non-technical stakeholders, senior leaders, and customers

Preferred Qualifications

• Experience with 0-to-1 product or platform work, or commercializing an internally built platform for external customers
• Experience defining, developing, and maintaining platform-level scaled product solutions across stakeholders with competing priorities between common capabilities and specific partner needs
• Familiarity with multi-tenant platform concerns: tenant isolation, quota and entitlement enforcement, and per-tenant cost and usage telemetry
• Responsible AI experience, including model risk management, model documentation, or alignment to NIST AI Risk Management Framework or the EU AI Act
• Experience managing partner or vendor relationships with hyperscalers or major data and AI platform providers
• Experience building for or selling to payers, providers, or health services organizations
• Health care industry experience across provider, payer, medical device, pharmaceutical, or other health services roles
• Familiarity with Model Context Protocol (MCP), tool-calling standards, model gateways, or agent frameworks such as LangGraph (or equivalent)
• Solid communication and relationship skills to influence leaders and multiple stakeholders, with and without direct authority

Technologies

• AI/ML
• LLM-based systems
• Retrieval-augmented generation
• Tool and function calling
• Agent orchestration
• NIST AI Risk Management Framework
• EU AI Act
• Model Context Protocol (MCP)
• LangGraph

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (subject to eligibility requirements)

Location and Remote Work Guidance

• Eden Prairie, MN (remote)
• Remote flexibility: work remotely from anywhere within the U.S.
• Minneapolis or Washington, D.C. area hires: required to work in the office a minimum of four days per week

Application Deadline

• Posting will remain open for at least 2 business days or until a sufficient candidate pool is collected
• Job posting may close early due to volume of applicants

Pay

• USD 134,600 - 230,800 per year based on full-time employment

Drug-Free Workplace

• Requires candidates to pass a drug test before beginning employment

Optum AI Team Members

• Have impact at scale, with the data and resources to deploy solutions across the health care system
• Work on cutting-edge ML, NLP, and LLM techniques, including generative AI methods for structured and unstructured health care data
• Partner with world-class experts; in some cases, work may include filing patents and publishing research, alongside collaborations with university researchers