Product Manager, Bill Payroll Transaction Risk

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 bill payment and payroll disbursement we process is a real-time risk decision: release funds so vendors and employees get paid on time, and stop fraud and financial loss before it happens. Getting this right — minimizing losses while not delaying good money movement with false holds — directly moves the P&L and whether a small business can operate.

We're hiring a Staff Product Manager who owns our bill payment and payroll 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 bill payment and payroll 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 (payees, vendors, employees, contractors) 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…