Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Identify and prioritize AI opportunities across Legal, IT, Enterprise Risk, Product, and Engineering, mapping workflows and selecting appropriate agent, automation, or SaaS-based solutions. Build and deploy AI agents and workflows, establish evaluations and governance controls, and support adoption while tracking operational outcomes.
What they look for
Requirements
Requires 7+ years of relevant experience and 2+ years building and shipping AI agents or automations, along with hands-on AI-assisted development, API and enterprise-data integration, and knowledge of prompt engineering, RAG, tool use, and AI evaluation. Candidates should understand relevant business workflows, communicate clearly with cross-functional teams, and have a bachelor's degree or equivalent practical experience.
Full description
AI Product Manager Expert
Requirements
Must have
- 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 (Nice to have)
- 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
Responsibilities
- 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 nocode 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 (nice to have)
Required Languages
English – Fluent (96–100%)
Location
México or India
Similar roles
-
Sr. Product Manager, Theatrical
Angel Provo, Utah, United States · $150K–$160K/yr
-
Staff Product Manager, Retailer & App Experience
Faire San Francisco, California, United States · $220K–$302K/yr
-
Product Manager- Manufacturing Vision & Quality Systems
Sandalwood Engineering & Ergonomics Redford, Michigan, United States
-
Product Manager
Numa Oakland, California, United States · $150K–$220K/yr
-
Product Manager, Supply Chain & Operations
Avathon Pleasanton, California, United States · $150K–$190K/yr
-
Product Manager
HireRight Greater London, England, United Kingdom