Lead I - Product Management

AI Product Manager – Corporate Functions We have an opportunity for an AI Product Manager for Corporate Functions to join our Enterprise AI team in IT, reporting to the AI Product Lead. Be a Contributor – What You'll Do • Partner with Legal, IT, Enterprise Risk Management, Product, Engineering and other functional leaders to find AI opportunities and define the problem, the users and how success will be measured • Map processes end to end, such as contract request-to-signature, IT request-to-fulfillment, risk assessment and ticket-to-deploy, to find where AI can remove steps and manual effort • Own the AI backlog for Corporate Functions, ranking requests by business value, effort, risk and strategic fit • Triage each request and decide which type of solution will work: a custom AI agent, a low-code or no-code build, AI built into a SaaS application such as a CLM platform, ServiceNow or Jira or a workflow automation • Build solutions for contract intake and review, policy questions, IT service desk requests, risk register support, product feedback, release notes, ticket triage and documentation • Build and ship AI agents, Claude Projects and automated workflows yourself, from first prototype through to production • Write requirements for each solution, then develop it yourself with AI coding assistants such as Claude Code, including APIs and integrations • Set up evaluations for accuracy, confidentiality, auditability and human review and apply AI governance, security and privacy standards with Security, Legal and Enterprise Architecture • Drive adoption with training and enablement, and track intake volume, routing time, resolution time and service levels to set future priorities Be Prepared – What You Bring • 7+ years in software development, product management, Legal Operations, IT, risk management, engineering operations or business systems • 2+ years building and shipping AI agents and automations yourself with tools such as Glean, Claude, ChatGPT, Gemini or AWS Bedrock • Hands-on development with AI coding assistants such as Claude Code, including APIs, integrations and enterprise data • Working knowledge of prompt and context engineering, retrieval-augmented generation (RAG), tool use and AI evaluation • Strong understanding of Legal, IT, risk, product or engineering workflows • Hands-on experience with platforms such as CLM, ServiceNow, Jira, Confluence, GitHub or risk management tools • Ability to earn trust with legal, IT, risk, product and engineering teams, and to explain AI in clear business terms • Bachelor's degree or equivalent practical experience Any UST locations preferred