Senior Staff PM, AI-Driven Account Risk & Decisioning

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

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit, Inc. is seeking a Senior Staff Product Manager for Account Risk. You will own risk-driven decisioning across the account lifecycle, balancing loss and customer experience with AI-native models, rules, and data signals.

The role requires influencing cross-functional partners and delivering measurable improvements in approval rates and fraud loss. You will partner with engineering, AI science, risk policy, and operations to push decisioning forward, ensure explainability, and align

Qualifications

• 6+ years in Risk Product Management with measurable business outcomes.
• Proven track record owning risk, fraud, identity, or onboarding outcomes.
• Strong collaboration with data science and ML teams; experience with models.

Responsibilities

• Own funnel outcomes: set strategy to hit goals for approval rates, conversion, loss, false positives, and churn.
• Define decisioning strategy: combine rules, models, verification steps and data signals for real-time decisions.
• Reduce friction with auto-approval, progressive verification, and silent remediation.
• Advance AI-native decisioning: improve speed, quality, explainability and guardrails.
• Expand data foundation: evaluate third-party data and optimize cost vs. coverage.
• Own dashboard metrics: report approval/decline, loss, churn, and decision quality.
• Align with cross-functional partners: engineering, risk policy, compliance, and operations.

Skills

Risk product management

Fraud & onboarding

AI decisioning

Data partnerships

Education

Bachelor's degree

MBA preferred

Job description

Intuit, Inc. is seeking a Senior Staff Product Manager for Account Risk. You will own risk-driven decisioning across the account lifecycle, balancing loss and customer experience with AI-native models, rules, and data signals.

The role requires influencing cross-functional partners and delivering measurable improvements in approval rates and fraud loss. You will partner with engineering, AI science, risk policy, and operations to push decisioning forward, ensure explainability, and align