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Staff Product Manager, Payments Transaction Risk

Job in Greenwood, Johnson County, Indiana, 46142, USA
Listing for: Intuit
Full Time position
Listed on 2026-08-22
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 186500 - 252500 USD Yearly USD 186500.00 252500.00 YEAR
Job Description & How to Apply Below

Overview

Join our mission

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. We serve over 50 million consumer, small business, and self-employed customers worldwide — powering the money movement behind Quick Books, Credit Karma, and Turbo Tax.

Every payment we process is a real-time risk decision: approve a good transaction in milliseconds, and stop fraud and financial loss before it happens. Getting this right — minimizing losses while not impacting good customers with false declines — directly moves the P&L.

We're hiring a Staff Product Manager who owns our payments transaction risk outcomes — accountable for hitting fiscal-year loss-reduction and insult-reduction (false-positive) goals. You'll own both the strategy and the capabilities to get there: the risk decisioning approach, the data science models, the data vendors, and the counter party risk signals that power fast, accurate decisions.

This is a technical, results-driven role for someone who has built risk decisioning strategies before and wants to push them to the next generation with AI and richer data. Our partners are cross-functional, globally distributed, and domain experts. Success demands customer obsession, innovative solutions, and analytical rigor in equal measure.

Responsibilities

  • Own the number. Set and deliver the strategy to achieve fiscal year goals for loss reduction and insult-rate (false-positive) reduction across payments transaction risk — you are accountable for the outcome, not just the roadmap.
  • Own the risk decisioning strategy. Decide how models, rules, and signals combine to approve good transactions and stop bad ones in real time, tuning the balance between loss and customer insult.
  • Expand the data foundation. Evaluate, integrate, and operationalize new data vendors and internal sources; own data quality, coverage, and cost trade-offs in service of decision accuracy.
  • Build counter party risk signals. Develop features and signals that assess the risk of transaction counter parties (payers, payees, merchants, beneficiaries) and the relationships between them.
  • Advance real-time, AI-native decisioning — latency, reliability, explainability, and the guardrails governing automated decisions.
  • Own the scoreboard and communicate it. Instrument and report loss rates, false-positive rates, approval/decline rates, model precision/recall and lift, and decision latency; align leaders on trade-offs and progress to goal.
  • Align and deliver across data science, engineering, risk policy, compliance, and operations; ruthlessly prioritize and set delivery timelines.

Qualifications

  • 4+ years in Product Management, including sustained ownership of complex, technical, multi-team initiatives with accountability for measurable business outcomes.
  • Proven track record building risk/fraud decisioning strategies — you've owned loss and/or false-positive outcomes on risk scoring, transaction monitoring, underwriting, or fraud-prevention products, and understand the dynamics of financial risk.
  • Deep partnership with data science / ML teams — you've helped develop, evaluate, and product ionize models, and reason fluently about features, precision/recall, and model trade-offs.
  • Experience with data vendors and data pipelines — evaluating, integrating, and operationalizing third-party and internal data for decisioning.
  • Strong technical fluency: real-time/streaming decisioning, APIs, data infrastructure, and experimentation
  • Quantitative rigor: comfortable with analytics and A/B testing to size opportunities, set targets, and prove impact against goals.
  • Experience in payments, fraud, risk, or another high-scale financial domain
  • Bachelor's degree required;
    Master's degree or MBA preferred.

Footer

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: $186,500- $252,500

The Expected Base Pay Range For This Position Is

New York $186,500 - $252,500

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