Staff Product Manager, Done-For-You Payroll Workflows

Intuit, Inc.; San Francisco (CA); On-site; USD 189,000 - 255,000; Full time

Benefits offered by this job

Pay for performance

Equity rewards

Comprehensive benefits

Job summary

Intuit, Inc. is seeking a staff-level Product Manager to own AI-powered payroll automation. You will drive systems that automate payroll readiness, detect anomalies, and streamline approvals. Collaborate with engineering, data science, design, and legal to shape modeling guardrails and auditable changes.

You will redesign data models, define success metrics, and push for faster, more accurate payroll outcomes, with impact on mid-market and enterprise customers.

Qualifications

• 5+ years in product management, shipping in regulated/workflows such as payroll, tax, HR.
• Experience with ML/LLM-powered automation and evaluation loops.
• Able to work in ambiguity and drive execution without a fixed roadmap.

Responsibilities

• Move product from manual entry to autopilot with proactive anomaly detection and approvals.
• Build compliance that catches rate, deduction, and tax errors before release, with auditable explanations.
• Redesign data models and permissions to support reliable automation.
• Design agentic workflows that emulate a top payroll admin while allowing override/rollback by customers.
• Partner daily with engineering, data science, design, and legal to balance modeling and guardrails.
• Set and defend metrics to prove improvements in payroll accuracy, speed, and retention.

Skills

Product management

ML/LLM automation

Ambiguity navigation

Education

CS/EE/Statistics/Math degree

Tools

System design

Job description

Intuit is a global technology platform company that helps our customers and communities overcome their most important financial challenges. We help give over 50 million consumer, small business, and self-employed customers around the world the opportunity to prosper.

Mission
Build payroll where the system does the work — accurate, done-for-you payroll that Mid-Market and Enterprise teams stop having to think about.

Context
QuickBooks already runs at a scale most payroll products never reach — Intuit serves ~100M customers worldwide, and QuickBooks Online has 7M+ subscribers. We're taking the category we lead and turning it into the best payroll platform for Mid-Market and Enterprise, by automating time, pay, tax, compliance, and money movement end-to-end, with a mix of classic systems thinking and modern AI.

This is a staff-level role with real ownership over ambiguity. If you're hungry to ship, obsess over customer pain, and are passionate about simplifying complexity: this is a great role with real AI scope & real customer problems to solve.

Responsibilities

What you'll do

• Move the product from manual entry to autopilot: systems that detect when payroll is ready to run, flag anomalies, and drive approvals proactively instead of waiting for an admin to notice a problem.
• Build compliance that runs in the background — catching rate, deduction, and tax errors before they ship — and pair every automated change with an explanation an admin can actually audit.
• Redesign the underlying data model and permissions where they're the reason automation isn't reliable today.
• Design agentic workflows that act like a high-performing payroll admin, while keeping the customer able to see, override, or roll back anything the system did.
• Partner daily with engineering, data science, design, and legal — the tradeoffs live in the modeling and the guardrails, not in a spec you hand off.
• Set the metrics that prove this is working, and hold the roadmap accountable to them: fewer payroll exceptions, faster completion times, higher retention.

Qualifications

You might be a fit if

• You have 5+ years in product management and you've shipped in a domain where 'mostly right' isn't good enough — payroll, tax, HR, or another high-stakes regulated workflow.
• You've taken on more scope over time, not just more title, at companies known for technical rigor.
• You're genuinely comfortable in the details of ML/LLM-powered automation — what a model can be trusted to do unsupervised, what an eval loop is actually telling you, where a data pipeline breaks.
• You have a technical degree (CS, EE, Statistics, Math) or equivalent depth — you'll be partnering with engineering on system design, not just requirements.
• You can turn customer pain into an execution plan without waiting for someone to hand you a roadmap, and you move fast in ambiguity.
• Bonus: you've shipped an automated or agentic product and can point to what it did to trust and quality — not just what it did to velocity.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

Mountain View $188,500 - $255,000