Назад
Company hidden
7 дней назад

Staff Product Manager (Payments)

186 500 - 252 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →