Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group, through Optum Tech, develops innovative healthcare solutions using data analytics, artificial intelligence, and cybersecurity. The Lead Technical Product Manager will drive the technical strategy, software delivery, and federation model for Avery across multiple business units, partnering with engineering, architecture, security, AI platform, operations, and business teams to deliver scalable conversational AI capabilities.
Responsibilities
- Drive technical product strategy, platform vision and roadmap development for Avery Federation
- Partner with software engineering, architecture, security, AI platform and operations teams to define scalable solutions
- Partner with architecture, security, responsible AI, privacy, and engineering teams to establish federation guardrails and ensure federated solutions meet enterprise requirements for security, reliability, observability, data handling, AI safety, and architectural consistency
- Prioritize platform capabilities, technical debt, modernization, operational needs and new functionality through adaptive backlog management
- Facilitate technical design reviews, architecture discussions, integration planning and cross-team dependency management
- Use AI-assisted development tools including Codex to accelerate prototyping, improve requirements clarity and support engineering delivery
- Identify business and technical opportunities for improvement using data analytics, platform performance, customer/colleague feedback and pain points
- Serve as the technical product champion for federation capabilities, APIs, integrations, orchestration frameworks and platform governance
- Track federation success metrics including adoption, onboarding time, delivery velocity, platform reuse, reliability, operational quality, and developer experience
Skills
- 5+ years of Technical Product Management experience supporting software engineering teams, product vision and strategic roadmaps
- 3+ years of experience delivering enterprise-scale software platforms, APIs, cloud-based applications, conversational AI or AI-powered solutions
- Proven working knowledge of software engineering principles, system architecture, SDLC / agile delivery practices
- Proven working knowledge of AI-assisted development and productivity tools (e.g., Codex, GitHub Copilot, Claude Code, Amazon Cloud or equivalent) to accelerate prototyping, requirements development, technical analysis, and product delivery
- Advanced Degree in Computer Science, Engineering, Information Systems, Business Administration or related field of study
- Demonstrated background in conversational AI, LLM-based solutions, agent frameworks, orchestration platforms, APIs and platform engineering
- Experience with cloud-native architecture, microservices, API management, DevOps practices and secure software delivery
- Demonstrated ability to create clarity from ambiguity, organize complex information and position decision options to meet deadlines
- Demonstrated ability to influence across organizational boundaries and drive alignment among engineering, architecture, product, operations, and business teams without direct authority
- Experience in Healthcare or other regulated areas such as financial services or government
Benefits
- Remote work from anywhere within the U.S.
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Clear direction on what it takes to succeed in your role
- Development for other roles you may be interested in
Company Overview