Senior Staff PM: AI‑Powered Payroll Automation

Intuit, Inc.; San Francisco (CA); On-site; USD 206,000 - 278,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Employee benefits

Job summary

Intuit, Inc. is seeking a staff-level product manager to own the transition of payroll from manual entry to autopilot within a scale-ready platform.

You will partner with engineering, data science, design, and legal to shape automation that reduces errors and accelerates processing. You should have 5+ years of product management experience in high-stakes workflows, a technical degree, and comfort with ML/LLM-powered automation.

Qualifications

• 5+ years of product management experience in high-stakes workflows (payroll, tax, HR) or equivalent.
• Experience shipping complex AI-enabled products with measurable impact.
• Technical background enabling collaboration with engineering on system design.

Responsibilities

• Move payroll from manual entry to autopilot with anomaly flags and proactive approvals.
• Build background-only compliance for rate, deduction, and tax errors with auditable explanations.
• Redesign data model and permissions to improve automation reliability.
• Design agentic workflows that mirror a high-performing payroll admin while maintaining user overrides.
• Partner daily with engineering, data science, design, and legal to balance guardrails and modeling tradeoffs.
• Set and track metrics (fewer payroll exceptions, faster completion, higher retention) and align the roadmap.

Skills

Product management leadership

ML/LLM-powered automation

System design collaboration

Data-driven decision making

Ambiguity handling

Education

CS/EE/Statistics/Math degree

Tools

SQL

Python

ML tooling

Job description

Intuit, Inc. is seeking a staff-level product manager to own the transition of payroll from manual entry to autopilot within a scale-ready platform.

You will partner with engineering, data science, design, and legal to shape automation that reduces errors and accelerates processing. You should have 5+ years of product management experience in high-stakes workflows, a technical degree, and comfort with ML/LLM-powered automation.