Technical Product Manager

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

About the role

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. or, if you reside in Minnesota, a hybrid-remote position.

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

Requirements

• 3+ years of experience working with NICE CXone 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)

Qualifications

• 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

Benefits

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

Pay

The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, and certifications.