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

• 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

English – Fluent (96–100%)

México or India