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SeniorГибридПолная занятость

Senior Product Manager, AI & ML Platform

Оценка ИИ

Высокая оценка обусловлена сильной миссией компании, конкурентной зарплатой, наличием опционов и работой в быстрорастущем секторе HealthTech с использованием передовых технологий AI.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокого понимания жизненного цикла ML-моделей и опыта работы с инфраструктурными продуктами, а также умения управлять ожиданиями внутренних технических стейкхолдеров.

Анализ зарплаты

Медиана185 000 $
Рынок160 000 $ – 215 000 $
Оценка ИИ

Предлагаемый диапазон $150k–$202k полностью соответствует рыночным стандартам для Senior Product ролей в Нью-Йорке, особенно в секторе высокотехнологичных стартапов стадии Series E.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Product Manager, AI & ML Platform position at Spring Health. With over four years of experience in technical product management and a deep focus on infrastructure and developer-facing products, I am excited by the opportunity to scale the AI/ML foundation that powers your Precision Mental Healthcare technology. My background in partnering with engineering teams to deliver reliable production systems aligns perfectly with your mission to eliminate barriers to mental health through intelligent, data-driven solutions.

In my previous roles, I have successfully led continuous discovery processes to translate complex technical gaps into prioritized roadmaps that drive internal adoption and business impact. I am particularly impressed by Spring Health’s commitment to clinically validated outcomes and your impressive growth to a $3.3 billion valuation. I am eager to bring my expertise in model lifecycle management and platform scalability to help your feature teams ship impactful AI features faster and more securely.

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Присоединяйтесь к Spring Health, чтобы создавать AI-платформу, которая реально меняет жизни людей и делает ментальное здоровье доступным.

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.

Reporting to the Senior Director of Product, Customer Value, you will be instrumental in defining and executing the vision for a scalable, secure, and extensible AI/ML foundation. You will build the core machine learning infrastructure and developer platform that powers intelligent features across the company, and enables product teams to rapidly develop, evaluate, deploy, and monitor AI solutions with confidence. Please note that this is a hybrid role based in New York City with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue.

What you’ll do:

  • Shape and drive the AI/ML platform strategy and roadmap. Advance the long-term vision for our core ML infrastructure and AI developer platform, ensuring it enables rapid experimentation, safe deployment, and scalable production use across all product teams.
  • Lead continuous discovery with feature teams. Run an ongoing discovery motion with product, clinical, and engineering teams to deeply understand emerging AI use cases, pain points, and workflow gaps; translate those insights into a clear, prioritized roadmap that balances immediate enablement needs with long-term platform scalability and technical strategy.
  • Align platform investments to business impact. Prioritize infrastructure initiatives based on customer value, scalability, and ROI, ensuring the platform supports enterprise-grade performance, security, and cost efficiency.
  • Define platform solutions in close partnership with Engineering leadership. Collaborate with engineering managers to translate ambiguous AI/ML needs into well-scoped, technically sound platform capabilities, with clear problem statements, success metrics, definition of done, and thoughtful rollout and enablement plans that drive strong adoption among internal developers.

What success looks like:

  • Establish clear service standards for the AI/ML platform and consistently improve performance, stability, and scalability.
  • Build feedback loops with internal teams and measurably improve satisfaction by reducing friction and increasing self-serve capabilities.
  • Expand access to high-value data and platform capabilities while reducing the infrastructure burden on feature teams, enabling them to ship impactful AI features more quickly.

What you’ll bring:

  • 4+ years of Product Management experience, including ownership of highly technical platforms, infrastructure, or developer-facing products.
  • Demonstrated experience partnering deeply with Engineering to ship scalable, reliable systems in production environments.
  • Strong understanding of AI/ML systems and workflows (e.g., model lifecycle, evaluation, deployment, observability), with the ability to translate complex technical concepts into clear product direction.
  • Track record of driving roadmap clarity in ambiguous, fast-moving spaces and delivering measurable outcomes.
  • Experience running continuous discovery with internal users and translating feedback into high-impact platform improvements.
  • Ability to define clear success metrics, service standards, and rollout strategies that drive adoption.
  • Excellent cross-functional communication skills, with the ability to influence senior technical stakeholders without formal authority.
  • Prior machine learning engineering experience is preferred but not required

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
  • Artificial Intelligence
  • Infrastructure
  • MLOps
  • Roadmapping
  • Stakeholder Management

Возможные вопросы на собеседовании

Проверка понимания специфики платформенного продукта и умения приоритизировать задачи для внутренних разработчиков.

Как вы определяете приоритеты между созданием новых функций для конечных пользователей и улучшением стабильности/масштабируемости ML-инфраструктуры?

Оценка опыта работы с метриками эффективности платформы.

Какие ключевые показатели эффективности (KPI) вы бы использовали для оценки успеха AI/ML платформы внутри компании?

Проверка навыков взаимодействия с инженерами в условиях неопределенности.

Опишите случай, когда вам пришлось переводить неоднозначные требования к AI-функционалу в четкие технические спецификации для инженерной команды.

Оценка понимания современных ML-процессов.

Как вы подходите к решению проблем наблюдаемости (observability) и оценки качества моделей в продакшене на уровне платформы?

Проверка навыков внедрения продукта среди внутренних пользователей.

Как вы планируете стимулировать внедрение новых инструментов платформы среди продуктовых команд, которые привыкли использовать собственные решения?

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springhealth66
Страна
США
Зарплата
150 000 $ – 202 400 $