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3 часа назад

Senior Product Manager, Security AI (Fintech)

129 000 - 195 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Product Manager (Security AI): Building and executing the strategy for secure AI development at scale with an accent on model governance, adversarial testing, and AI risk controls. Focus on operationalizing security guardrails for fraud detection and sensitive data handling while enabling safe AI experimentation across the company.

Location: Must be based in or able to commute to Bellevue, WA (3 days per week in-office)

Salary: $129,000 - $195,000 USD (Base pay range dependent on compensation zone)

Company

A mission-driven fintech company dedicated to democratizing finance for all through innovation and cutting-edge technology.

What you will do

  • Define the strategy and roadmap for secure AI platform capabilities, including model governance and access controls.
  • Partner with Security, Privacy, and Compliance teams to integrate regulatory requirements into platform controls.
  • Establish measurable health metrics for AI systems, such as drift detection and model performance.
  • Guide internal teams through secure AI adoption via structured intake and risk review processes.
  • Define requirements for adversarial testing, red-teaming, and explainability reviews.

Requirements

  • Minimum 4 years of experience in building and launching high-quality consumer products.
  • Proven background in defining and developing AI-powered products.
  • Ability to translate complex technical concepts into clear product requirements.
  • Strong leadership and relationship management skills to drive cross-functional alignment.
  • Decision-making capability based on product analytics and research.
  • Must be able to work from the Bellevue, WA office at least 3 days per week.

Nice to have

  • Prior experience in fintech or consumer AI products.
  • Exposure to LLMs, recommender systems, NLP, or reinforcement learning.
  • Experience with agentic AI products.
  • Familiarity with A/B testing and experimentation platforms for ML systems.

Culture & Benefits

  • Comprehensive Total Rewards package including equity and performance bonuses.
  • Focus on high-performing, fast-moving team culture with ethics at the core.
  • In-person collaborative environment designed to spark innovation and growth.
  • Opportunity to solve large-scale financial problems using frontier technologies.

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