AI Product Manager Expert Requirements Must have
• 7+ years in software development, product management, HRIS, Payroll, Compensation, Recruiting, HR 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 at least one HR area, such as Payroll, Compensation, Core HR or Recruiting, and the privacy of people data
• Hands-on experience with platforms such as Oracle HCM, payroll, compensation, ATS or learning tools
• Ability to earn trust with HR leaders and employees, and to explain AI in clear business terms
• Bachelor's degree or equivalent practical experience Nice to have Responsibilities
• Partner with Payroll, Compensation, Core HR, Recruiting, Talent Development and HR Operations leaders to find AI opportunities and define the problem, the users and how success will be measured
• Map HR processes end to end, such as hire-to-retire, recruit-to-onboard, the pay cycle and the compensation cycle,



to find where AI can remove steps and manual effort
• Own the AI backlog for HR, 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 Oracle HCM or a workflow automation
• Build solutions for payroll questions and pre-payroll checks, compensation planning, Core HR data changes, policy questions, recruiting, onboarding, talent development and HR case handling
• 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, fairness, privacy and human review and apply AI governance, security and privacy standards with Security, Legal, Privacy and Enterprise Architecture
• Drive adoption with training and enablement, and track time to hire, payroll errors, HR case volume and employee satisfaction to set future priorities Required Languages English – Fluent (96–100%) Location México or India

📌 Product Manager Ex (México)
🏢 SOFTTEK
📍 México