Senior AI-Driven Risk & Decisioning Product Lead

Intuit

Mountain View (CA)

On-site

USD 206,000 - 278,000

Full time

5 days ago
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Job summary

Intuit is seeking a Senior Staff Product Manager for Account Risk in Mountain View, CA. You will own risk and decisioning outcomes across onboarding, payments, and account lifecycle, balancing loss and customer experience with AI-native decisioning and real-time signals.

Lead cross-functional teams, collaborate with data science, policy, and engineering, and drive measurable improvements in approval rates, fraud loss, and churn while delivering scalable, explainable risk solutions.

Qualifications

  • 6+ years in Risk Product Management with measurable outcomes.
  • Proven track record in risk, fraud, identity, or onboarding decisioning.
  • Experience with KYC/KYB, identity verification, AML.
  • Strong partnership with data science and ML teams.
  • Experience with data vendors and pipelines.
  • Strong technical fluency: real-time decisioning, APIs, rules engines.
  • Bachelor's degree; MBA preferred.

Responsibilities

  • Own funnel outcomes: set strategy to hit annual goals for approval rates, conversion, fraud loss, and churn.
  • Own the decisioning strategy: combine rules, models, data signals for real-time decisions.
  • Reduce friction with auto-approval and verification.
  • Advance AI-native decisioning with speed, explainability, and guardrails.
  • Expand data foundation with third-party data and internal data.
  • Own scoreboard: report metrics like approval/decline, loss, churn, and decision quality.
  • Collaborate across engineering, risk policy, compliance, and operations.

Skills

Risk product management
Fraud decisioning
Onboarding decisioning
Data science collaboration
Real-time decisioning
Executive communication
Payments/fintech domain

Education

Bachelor's degree
Master's degree or MBA preferred

Tools

APIs
Policy engines
Experimentation frameworks

Job description

Intuit is seeking a Senior Staff Product Manager for Account Risk in Mountain View, CA. You will own risk and decisioning outcomes across onboarding, payments, and account lifecycle, balancing loss and customer experience with AI-native decisioning and real-time signals.

Lead cross-functional teams, collaborate with data science, policy, and engineering, and drive measurable improvements in approval rates, fraud loss, and churn while delivering scalable, explainable risk solutions.

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