7 дней назад
Staff Product Manager (Payments)
186 500 - 252 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (Payments): Owning real-time bill payment and payroll transaction risk decisioning with an accent on loss reduction, false-positive reduction, AI-native models, data vendors, and counterparty risk signals. Focus on designing model-and-rule strategies, building measurable risk outcomes, and improving latency, reliability, explainability, and decision accuracy across high-scale financial transactions.
Location: New York, New York, United States
Salary: $186,500–$252,500 annually
Company
is a global financial technology platform serving consumers, small businesses, and self-employed customers through products including QuickBooks, Credit Karma, TurboTax, and Mailchimp.
What you will do
- Own the strategy and measurable outcomes for bill payment and payroll transaction risk, including loss and false-positive reduction.
- Design real-time risk decisioning strategies that combine models, rules, and signals to approve legitimate transactions and stop fraud.
- Evaluate, integrate, and operationalize internal and third-party data sources while managing data quality, coverage, and cost.
- Build counterparty risk features and signals for payees, vendors, employees, and contractors.
- Advance AI-native decisioning with strong latency, reliability, explainability, and automated-decision guardrails.
- Track loss, false-positive, approval, decline, precision, recall, lift, and latency metrics while coordinating delivery across data science, engineering, compliance, risk policy, and operations.
Requirements
- 4+ years of product management experience with ownership of complex, technical, multi-team initiatives and measurable business outcomes.
- Proven experience building fraud or risk decisioning strategies for risk scoring, transaction monitoring, underwriting, or fraud prevention.
- Experience partnering with data science and machine learning teams to develop, evaluate, and productionize models.
- Experience with data vendors, data pipelines, real-time or streaming decisioning, APIs, data infrastructure, and experimentation.
- Strong quantitative and analytical skills, including precision/recall analysis, A/B testing, and outcome measurement.
- Bachelor's degree required; Master's degree or MBA preferred.
Culture & Benefits
- Work with globally distributed, cross-functional partners and domain experts.
- Competitive compensation with performance-based cash bonus eligibility, equity rewards, and benefits.
- Focus on customer outcomes, analytical rigor, innovation, and measurable business impact.
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