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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

📌 Product Manager Ex (México)
🏢 SOFTTEK
📍 México