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Principal Technical Product Manager

Optum Eden Prairie, MN 📍 United States Remote

Eden Prairie, MN

Today

$135k - $231k/yr Full time Ai Agent Product Management Ai Product Management Ai Solutions Architecture

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Job Description

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

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