Technical Product Manager

UnitedHealth Group•Eden Prairie, MN

3d•$72,800 - $130,000•Remote

About The Position

As a Technical Product Manager (AI Product Manager) in our Chief Digital Office (CDO) within Optum Technology, you will drive the definition, design, and delivery of innovative, AI-powered technology solutions that transform the consumer digital experience, virtual assistant capabilities, and outbound engagement strategies. In this role, you will bridge the gap between business strategy and cutting-edge digital engineering, collaborating closely with data scientists, software engineers, and business partners to deliver scalable conversational AI and proactive contact center solutions. This is a unique opportunity to lead the deployment of advanced virtual assistants and outbound workflows, making a measurable impact on the healthcare system as part of a high-impact, forward-looking digital team. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges, or if you reside in Minnesota, you’ll enjoy the flexibility of a hybrid-remote position as you take on some tough challenges.

Requirements

3+ years of experience working with NICE CXone products or capabilities (e.g., routing, interaction channels, or customer experience workflows). products or capabilities (e.g., routing, interaction channels, or customer experience workflows)
3+ years of experience in technical product management, technical product ownership, or business systems analysis within a software engineering or technology environment
2+ years of experience utilizing Agile methodologies (e.g., Scrum, Kanban) to write technical requirements, decompose features, and manage active product backlogs
1+ years of experience designing, configuring, or managing conversational AI virtual assistants (e.g., Google Bot)

Nice To Haves

Bachelor’s degree or 4+ years of equivalent work experience in technical product management, software engineering, or business analysis
Certified Scrum Product Owner (CSPO), Agile Product Manager certification, or Pragmatic Institute product management certification
1+ years of experience managing, deploying, or designing products driven by Artificial Intelligence (AI), Machine Learning (ML), automation, or data-intensive backend architectures
2+ years of experience partnering directly with cross-functional technical teams (e.g., software developers, data scientists, architects, and QA engineers) to launch technical features
Broad understanding of the machine learning lifecycle, natural language processing (NLP), Large Language Models (LLMs), or conversational AI systems
Experience evaluating workflow automation opportunities and designing technology platforms to improve operational efficiency
Experience working with databases, querying data using SQL, or utilizing data visualization tools (e.g., Power BI, Tableau) to analyze product metrics
Excellent analytical, problem-solving, and communication skills, with a proven ability to translate complex technical concepts to non-technical stakeholders

Responsibilities

Decompose high-level business capabilities into manageable features, requirements, technical specifications, and user stories
Own, prioritize, and manage the product backlog to align with business priorities, technology strategies, and engineering capacity
Design, develop, and deploy AI-powered solutions to address complex business challenges, with a focus on conversational AI virtual assistants (e.g., Cognigy, Google, Amelia Bots) and proactive outbound engagement (e.g., NICE Proactive AI or Smartreach Outbound)
Partner with engineering, data science, and architecture teams on the creation of technical requirements, model criteria, and test strategies
Evaluate emerging technology, conversational AI, and outbound proactive contact center trends to inform solution design, platform development, and strategic innovation
Leverage enterprise-approved AI tools to streamline internal product management workflows, automate routine tasks, and drive continuous improvement
Define and track key product performance metrics to measure success, drive post-launch refinement, and ensure high-quality software delivery
Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement