Staff Product Manager, Bill Pay and Payroll Transaction Risk

Intuit, Inc.; New York (NY); Vor Ort; USD 187.000 - 253.000; Vollzeit

Zusammenfassung

Intuit, Inc. in New York is seeking a Staff Product Manager to own bill payment and payroll risk outcomes, accountable for loss reduction and false-positive reduction.

You will shape risk decisioning strategy, models, data vendors, and counterparty signals to power fast, accurate decisions. This technical, results-driven role requires building AI-native decisioning, expanding data foundations, and collaborating with cross-functional teams worldwide.

Qualifikationen

• 4+ years in Product Management with ownership of complex, technical, multi-team initiatives and measurable outcomes.
• Proven track record building risk/fraud decisioning strategies with loss and/or false-positive outcomes.
• Deep partnership with data science / ML teams; helped develop, evaluate, and productionize models; understand features and trade-offs.
• Experience with data vendors and data pipelines; evaluating and integrating third-party and internal data for decisioning.
• Strong technical fluency: real-time/streaming decisioning, APIs, data infrastructure, and experimentation.
• Quantitative rigor: comfort with analytics and A/B testing to size opportunities and prove impact.
• Experience in payments, fraud, risk, or another high-scale financial domain.
• Bachelor's degree required; Master's degree or MBA preferred.

Aufgaben

• Own the number: set and deliver the strategy to achieve fiscal year goals for loss reduction and insult-rate reduction across bill payment and payroll risk.
• Own the risk decisioning strategy: decide how models, rules, and signals combine to approve or stop transactions in real time.
• Expand the data foundation: evaluate, integrate, and operationalize new data vendors and internal sources.
• Build counterparty risk signals: develop features and signals assessing risk of counterparties and relationships.
• Advance real-time, AI-native decisioning: focus on latency, reliability, explainability, and guardrails for automated decisions.
• Own the scoreboard and communicate it: report loss rates, false-positive rates, approval/decline rates, and latency.
• Align and deliver across data science, engineering, risk policy, compliance, and operations.

Kenntnisse

Product Management

Risk/Fraud decisioning

Data science collaboration

Data vendors

Real-time decisioning

A/B testing

Payments domain

Ausbildung

Bachelor's degree

Master's degree or MBA preferred

Jobbeschreibung

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 QuickBooks, Credit Karma, and TurboTax.

Overview

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 counterparty 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

How you will lead

• 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 counterparty risk signals. Develop features and signals that assess the risk of transaction counterparties (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

What you'll bring

• 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 productionize 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.

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:
New York $186,500 - $252,500