- Страна
- США
- Зарплата
- 150 000 $ – 202 400 $
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Senior Product Manager, AI Trust & Safety
Исключительно привлекательная вакансия в компании-единороге ($3.3 млрд) с благородной миссией. Предлагается конкурентная зарплата, опционы и впечатляющий пакет льгот, включая поддержку фертильности и ментального здоровья. Роль находится на острие современных технологий ИИ.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокую техническую экспертизу в ML (оценка моделей, red teaming) с пониманием клинических и этических рисков в сфере ментального здоровья. Роль требует навыков управления сложными кросс-функциональными процессами в условиях высокой неопределенности.
Анализ зарплаты
Предлагаемый диапазон $150k–$202k полностью соответствует рыночным стандартам Нью-Йорка для позиций Senior Product Manager в сфере AI/ML. Верхняя граница диапазона даже несколько превышает медиану для аналогичных ролей в HealthTech стартапах стадии Series E.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager, AI Trust & Safety position at Spring Health. With over four years of experience in product management and a deep technical fluency in machine learning systems, I am eager to help Spring Health maintain its market leadership by ensuring that your AI-driven mental health solutions are both innovative and exceptionally safe. My background in defining model evaluation protocols and navigating complex regulatory landscapes aligns perfectly with your mission to eliminate barriers to mental healthcare through precision technology.
In my previous roles, I have successfully led cross-functional teams of engineers and data scientists to implement robust safety gates and 'red teaming' exercises for LLM-based features. I understand that in the context of mental health, 'safe and effective' AI is not just a technical requirement but a clinical and ethical necessity. I am particularly drawn to Spring Health’s commitment to clinically validated outcomes and look forward to the opportunity to operationalize trust and safety standards that protect your 10 million members while driving net positive ROI for your global partners.
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Описание вакансии
Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology,Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
The Senior Product Manager for AI Trust & Safety will own the roadmap and champion the standards to ensure AI experiences in Spring Health’s products are safe and trustworthy. You will shape the definition of 'safe and effective' AI by leading efforts in model evaluation, operational approval gates, and safety measurement, collaborating with engineering, data science, legal, and clinical stakeholders to implement this strategy. Reporting to the Senior Director of Product, Customer Value, this hybrid role is based at our New York City office (60 Madison Avenue), with 2-3 days per week in-office required.
What you’ll do:
- Own the roadmap for the AI Trust & Safety pod, prioritizing and driving investments to continually improve safety across AI experiences in the Spring Health platform.
- Define a strategy to leverage data to improve performance of AI systems
- Shape and evangelize the standards for what “safe and effective AI” means in Spring Health’s context
- Define operational approval gates for AI features before they’re deployed in production
- Partner with ML engineers and data scientists to scope and prioritize technical work that enables AI safety & trust
What success looks like:
- Establish and operationalize robust evaluation protocols for AI-driven features.
- Achieve measurable improvement in AI interaction safety and reliability metrics.
- Drive cross-functional operational alignment on trustworthy AI standards across Legal, Clinical, and ML teams.
- Advance Spring Health’s market leadership on AI safety in mental healthcare
What you’ll bring:
- 4+ years of product management experience, with a focus on ML/AI systems
- Strong ML fluency. Understands model lifecycles, performance metrics, failure modes, and validation methods.
- Experience defining goals and specs for model evaluation, red teaming, or risk mitigation
- Strong cross-functional communication and alignment skills across technical, clinical, and regulatory teams
- Demonstrated ability to take end-to-end ownership of complex problems and drive outcomes in high-velocity, ambiguous environments.
Nice to have:
- Prior experience in a data science role
- Familiarity with human-in-the-loop evaluation pipelines or post-deployment model monitoring
- Understanding of emerging AI regulatory frameworks (e.g., EU AI Act, U.S. HHS guidance)
The target base salary range for this position is $150,000 - $202,400, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Databaseat minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medicalaccounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
- Employer sponsored 401(k) match of up to 2% for retirement planning
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- We offer competitive paid time off policies including vacation, sick leave and company holidays.
- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access toWellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
- Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health:Our Values
*Our privacy policy:*https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
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Навыки
- Product Management
- Machine Learning
- AI Safety
- Model Evaluation
- Data Science
- Red Teaming
- Risk Mitigation Strategy
- Roadmapping
- Cross-functional Team Leadership
Возможные вопросы на собеседовании
Проверка понимания специфики безопасности ИИ в чувствительных сферах.
Как бы вы определили критерии 'безопасного и эффективного' ИИ именно для платформы ментального здоровья, в отличие от обычного чат-бота?
Оценка технической грамотности в области тестирования моделей.
Опишите ваш опыт организации процесса 'red teaming' для LLM: какие сценарии вы бы приоритизировали для Spring Health?
Проверка умения работать с регуляторными требованиями.
Как вы планируете интегрировать требования новых стандартов (например, EU AI Act или рекомендации HHS) в текущий цикл разработки продукта?
Оценка навыков приоритизации и взаимодействия с инженерами.
Как вы будете балансировать между скоростью вывода новых ИИ-функций на рынок и необходимостью прохождения строгих операционных шлюзов безопасности?
Проверка умения работать с данными для улучшения систем.
Какие метрики вы бы использовали для измерения 'доверия' пользователей к ИИ-системам и как бы вы связали их с бизнес-результатами?
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- Страна
- США
- Зарплата
- 150 000 $ – 202 400 $