- Страна
- США
- Зарплата
- 166 000 $ – 195 000 $
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Senior Product Manager, Security AI
Высокий балл обусловлен сильным брендом компании, работой на острие технологий (Security AI) и конкурентной заработной платой с пакетом акций. Роль предлагает реальное влияние на безопасность финансовой системы будущего.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в области ИИ (LLM, Agentic AI) и экспертизы в кибербезопасности и комплаенсе. Высокая планка ответственности в финтех-индустрии и необходимость работы в гибридном режиме из офиса в Белвью повышают сложность позиции.
Анализ зарплаты
Предложенный диапазон в $166,000 – $195,000 для зоны 1 (Сиэтл/Белвью) полностью соответствует рыночным стандартам для Senior PM в топовых технологических компаниях США. С учетом бонусов и опционов (Equity), совокупный доход может значительно превышать медиану рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager, Security AI position at Robinhood. With a solid background in building AI-powered products and a deep understanding of the intersection between machine learning and security infrastructure, I am eager to contribute to your mission of democratizing finance. My experience in navigating complex regulatory requirements while maintaining a high velocity of innovation aligns perfectly with the goals of the AI Platform team.
In my previous roles, I have successfully led initiatives involving model governance, adversarial testing, and the operationalization of risk controls for large-scale ML systems. I am particularly impressed by Robinhood's commitment to building a secure foundation for 'Agentic AI' and responsible experimentation. I am confident that my technical expertise in LLMs and my strategic approach to product management will help ensure that Robinhood remains at the forefront of secure and ethical AI development.
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Описание вакансии
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The AI Platform team builds the secure foundation that enables responsible, high-quality AI across Robinhood. Our mission is to provide the infrastructure, governance controls, and reusable services that allow teams to develop AI-powered products while meeting strict security, privacy, and regulatory requirements. We partner closely with Security, Privacy, Risk, Compliance, Engineering, and Data Science to ensure AI systems are resilient, explainable, and production-ready. Our work is central to protecting customer data and maintaining trust as we expand AI capabilities across the company!
As a Senior Security AI Product Manager, you will define and execute the strategy for secure AI development at scale. You will shape the roadmap for capabilities such as model governance, secure model deployment, adversarial testing, AI risk controls, and monitoring frameworks. You will work with internal product teams to help them adopt AI safely, accelerate experimentation within guardrails, and operationalize controls for fraud detection, abuse prevention, identity protection, and sensitive data handling. Your work will directly influence how AI is built, reviewed, launched, and continuously monitored across Robinhood.
This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you’ll do
- Set the strategy and roadmap for secure AI platform capabilities, including model governance, access controls, secure data pipelines, and production monitoring.
- Define requirements for AI security standards such as model risk assessments, red-teaming, adversarial testing, explainability reviews, and audit logging.
- Partner with Security, Privacy, Risk, and Compliance to translate regulatory expectations into clear product requirements and reusable platform controls.
- Establish measurable health metrics for AI systems, including model performance, drift detection, abuse signals, and incident response readiness.
- Guide internal teams through secure AI adoption by providing structured intake processes, risk reviews, and launch readiness criteria.
What you bring:
- Experience:
- Minimum 4 years in building and launching high-quality consumer products.
- Proven experience in defining and developing AI-powered products.
- Bonus points for experience in fintech and/or consumer AI products.
- Technical Knowledge:
- Familiarity with experimentation platforms and A/B testing for ML systems.
- Understanding of fine-tuning, evaluations, and ML optimization techniques.
- Exposure to LLMs, recommender systems, NLP, or reinforcement learning.
- Experience with products leveraging Agentic AI is a plus.
- Skills:
- Strong leadership, communication, and relationship management abilities.
- Adept at translating complex technical details into easily understandable language for a wider audience.
- Decision Making:
- Experience utilizing research, experimentation, and product analytics to drive informed decisions.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$166,000—$195,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$146,000—$172,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$129,000—$152,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
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Навыки
- Product Management
- Artificial Intelligence
- Machine Learning Engineering
- Cybersecurity
- Large Language Models
- Model Governance
- A/B Testing
- Data Privacy
- Risk Management
- Fintech
- Natural Language Processing
- Reinforcement Learning
Возможные вопросы на собеседовании
Проверка понимания специфических рисков ИИ в финансовом секторе.
Как бы вы организовали процесс 'red-teaming' для новой LLM-функции, которая взаимодействует с конфиденциальными данными клиентов?
Оценка способности балансировать между безопасностью и скоростью разработки.
Как вы будете приоритизировать задачи, если требования безопасности замедляют выпуск критически важного обновления продукта?
Проверка технической грамотности в области мониторинга моделей.
Какие метрики вы бы внедрили для отслеживания 'галлюцинаций' и дрейфа данных в продакшн-системах ИИ?
Оценка навыков кросс-функционального взаимодействия.
Опишите ваш опыт трансляции сложных регуляторных требований (например, в области приватности данных) в конкретные технические задачи для инженеров.
Проверка стратегического мышления в области AI Governance.
Каким вы видите идеальный процесс управления жизненным циклом моделей (Model Governance) в компании масштаба Robinhood?
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- Страна
- США
- Зарплата
- 166 000 $ – 195 000 $