Lead Technology Product Manager - Remote

UnitedHealth Group•Eden Prairie, MN

11h•$112,700 - $193,200•Remote

About The Position

Optum Insight is improving the flow of health data and information to create a more connected healthcare system. Within Optum Insight Engineering, the Lead Technology Product Manager leads the commercialization path and go-to-market strategy for scalable AI, platform, and developer-facing capabilities, using existing AI Marketplace and Developer Portal assets. The role partners closely with Technical Architecture, Engineering, and Commercial Operations to translate complex technical patterns into customer-ready market solutions. The position defines reusable commercialization patterns, guides opportunities through enterprise readiness gates, and helps ensure AI-driven healthcare solutions are secure, responsible, and high-impact. It is remote within the U.S., except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy.

Requirements

At least 7 years of experience partnering directly with engineering and technical architecture teams to commercialize technically complex offerings.
At least 5 years of experience in technical product management, solutions marketing, or go-to-market strategy focused on API, platform, or technical software products.
At least 5 years of experience authoring decision-ready governance documentation, business cases, and evidence packages for leadership review.
At least 5 years of experience designing, delivering, or deploying AI-powered or platform-level software solutions.

Nice To Haves

Bachelor’s degree in Business, Computer Science, or a related field; MBA or related advanced degree. Alternatively, 4+ years of equivalent professional experience in technical product management, software delivery, or technical marketing.
At least 8 years of technical product management or commercialization strategy experience focused specifically on API, platform, or AI/ML products.
At least 5 years of experience with marketplace, partner, or channel commercialization models, such as cloud marketplaces, API marketplaces, or SaaS channel programs.
At least 2 years of experience with modern AI/agent ecosystems, such as Model Context Protocol (MCP), LLM APIs, or agentic orchestration frameworks.
At least 2 years of experience navigating commercialization and governance stage gates in healthcare, life sciences, or other regulated enterprise environments.

Responsibilities

Develop customer, offer, channel, and go-to-market recommendations for technical engagements using existing AI Marketplace and Developer Portal capabilities.
Author commercialization-path materials, including channel strategies, launch packages, runtime plans, and activation runbooks.
Partner with Technical Architecture and Readiness Leads to ensure technical solution patterns are accurately represented in commercial offers.
Validate and document customer problem statements, external market viability, and named ownership at the “Worth Assessing” gate, and carry opportunities through the “Safe to Prepare” and “Customer-Ready” phases.
Maintain decision packages and evidence records for governance and architecture reviews; identify dependencies and flag risks proactively.
Contribute reusable commercial and go-to-market patterns to the enterprise shared library to support future platform and solution launches.
Support post-launch stewardship with Commercial Operations by monitoring offer performance and adoption metrics and informing scale or retirement decisions.
Design, evaluate, and integrate AI-powered solutions, platform patterns, and automations for complex healthcare challenges while applying responsible AI practices.