Senior Tech 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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Technical Product Manager - FinOps Automation, RI/SP Management & Optimization Engineering is responsible for managing cloud commitment programs, building optimization analytics, automating opportunity discovery, and developing AI-powered FinOps capabilities that improve operational efficiency and savings realization.

This role serves as the technical execution engine supporting large-scale optimization efforts across multi-cloud environments.

Primary Responsibilities

• Reserved Instance & Commitment Program Management
• Analyze and manage AWS Reserved Instances (RIs), Savings Plans (SPs), Azure Reservations, and GCP Committed Use Discounts (CUDs)
• Monitor coverage, utilization, expirations, underutilization, and purchasing opportunities
• Develop commitment recommendations to maximize savings and minimize waste
• Support forecasting, renewal planning, and commitment optimization activities
• Track realization of commitment-related savings
• Optimization Opportunity Discovery
• Continuously analyze cloud billing, utilization, and operational datasets to identify optimization opportunities
• Build repeatable methodologies to detect:
• Rightsizing opportunities
• Idle resources
• Low-utilization instances
• Storage optimization candidates
• Database optimization opportunities
• Commitment purchase opportunities
• Maintain optimization opportunity inventories and savings pipelines
• FinOps Automation & AI Agents
• Build and maintain AI-powered agents that automatically identify optimization opportunities
• Develop recommendation engines that proactively surface:
• RI/SP purchase opportunities
• Expiring commitments
• Coverage gaps
• Underutilized commitments
• Resource optimization candidates
• Leverage Generative AI and Agentic AI capabilities to improve FinOps operations and efficiency
• Support automated remediation workflows where appropriate
• Data Engineering & Analytics
• Build datasets, metrics, and automated reporting supporting optimization and commitment management
• Maintain cloud billing and utilization analytics solutions
• Improve data quality and reporting automation
• Develop dashboards supporting engineering teams and optimization programs
• Product & Delivery Support
• Translate optimization requirements into actionable user stories and backlog items
• Partner with engineering teams on development and implementation of optimization capabilities
• Support testing, validation, and deployment of automation solutions
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

• 4+ years of experience as a Technical Product Manager driving outcomes across cloud, SaaS platform, or FinOps-related products
• 2+ years of experience with cloud cost drivers, optimization levers, and value realization across Azure, AWS, GCP, Snowflake, Databricks, MongoDB, and data center environments
• 2+ years of experience in data analytics related to cloud & on-prem optimization through metrics
• 2+ years of experience with data visualization tools such as Power BI, Tableau, or Looker/Data Studio
• Experience with SQL scripting
• Experience with advanced Excel skills - pivot tables, VLOOKUP/INDEX-MATCH, conditional formulas, and data modeling
• Experience partnering with customers or application teams to drive adoption and behavior change
• Experience translating complex technical and financial data into clear, actionable product direction
• Experience in backlog management, prioritization, and agile delivery
• Experience with Python, automation, or scripting
  
  

• 6+ months of experience with AI-assisted analytics, automation, and agent development