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

Requirements

Must-haves

Build payroll where the system does the work — accurate, done-for-you payroll that Mid-Market and Enterprise teams stop having to think about.
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.
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.
Mountain View $188,500 - $255,000

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllm

Platform: career-feeds
Effort: medium