- Страна
- США
- Зарплата
- 152 000 $ – 227 000 $
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Senior/Staff Product Manager, Billing AI Automation
Отличная позиция в быстрорастущем стартапе с серьезным финансированием (Sequoia, TCV). Высокая зарплата, отличный пакет льгот (включая 18 недель декрета и гибкий график) и возможность работать над социально значимым продуктом.
Сложность вакансии
Роль требует глубокого понимания сложных финансовых систем (биллинг, страховые выплаты) и практического опыта внедрения ИИ/ML. Высокая планка ответственности за критически важную инфраструктуру компании и необходимость работы с большими данными повышают сложность.
Анализ зарплаты
Предлагаемая зарплата ($152k–$227k) полностью соответствует рыночным стандартам для Senior/Staff позиций в США, особенно для финтех и ИИ направлений в таких хабах, как Нью-Йорк и Сан-Франциско.
Сопроводительное письмо
I am writing to express my strong interest in the Senior/Staff Product Manager position for Billing AI Automation at Grow Therapy. With over five years of experience in product management and a proven track record of shipping AI/ML-powered solutions, I am excited by the opportunity to tackle the complexities of the claims lifecycle. My background in building data-heavy systems and my ability to translate intricate business logic into scalable technical architectures align perfectly with your mission to modernize the revenue cycle.
In my previous roles, I have focused on optimizing workflows through intelligent automation, much like the work you are doing with the Claims Engine. I am particularly drawn to Grow Therapy’s mission-driven approach and the challenge of making insurance the easiest part of a patient’s journey. I am confident that my technical fluency and user-centric mindset will allow me to contribute immediately to your engineering and finance partnerships, driving both operational efficiency and a better experience for providers and patients alike.
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Описание вакансии
About Us:
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.
The Opportunity:
If you’ve ever tried to find an in-network therapist — or supported someone who has — you know how broken and frustrating insurance and billing can be. At Grow, we believe insurance should be the easiest part of a patient’s mental health journey..
As a Senior Product Manager on our Billing Automation team, you’ll own one of the most complex and mission-critical areas of our platform: how therapy claims are submitted, processed, and reconciled with insurance. This is a chance to tackle a deeply messy, real-world problem and build systems that meaningfully improve the experience for providers, patients, and the business.
You’ll work closely with a strong engineering team and cross-functional partners to modernize the revenue cycle and help shape the future of mental health care infrastructure.
What You'll Be Doing:
- Own the roadmap and strategy for our Claims Engine, building an intelligent, scalable platform that handles claims submission, reconciliation, APIs, automations, and core data models.
- Design and evolve Grow’s revenue cycle system, from claim creation through adjudication and payment reconciliation.
- Identify opportunities to use automation and AI-assisted workflows to improve accuracy, reduce manual work, and scale collections intelligently.
- Dive deep into the claims lifecycle to uncover gaps, data inconsistencies, and inefficiencies — and turn those insights into meaningful product improvements.
- Partner closely with engineering, revenue cycle, finance, and other product teams to ensure we’re meeting both user and business goals.
You'll Be A Good Fit If:
- Product experience: 5+ years in a product management role where you owned the full strategy of your end-to-end surface area. Experience with financial systems, billing or revenue cycle is helpful but not required.
- AI/ML experience: Experience shipping AI/ML-powered products, including working with highly complex datasets to improve system performance, accuracy, or efficiency. Comfortable translating real-world problems into model-driven solutions, evaluating tradeoffs, and iterating based on outcomes.
- Systems thinking: Comfort working on data-heavy, workflow-driven products and understanding how changes ripple through systems.
- Technical fluency: Able to partner deeply with engineers, reason about APIs and data models, and use SQL or similar tools to inform decisions.
- Strong prioritization instincts: You know how to balance short-term wins with long-term platform investments and focus on what drives the most impact.
- User empathy: You enjoy talking to users, especially internal teams, and translating real pain points into thoughtful product solutions.
- Adaptability: You’re comfortable navigating ambiguity, learning quickly, and adjusting as new information emerges.
Role Details:
- Employment Type: Full-Time, Exempt
- Base Compensation: The base compensation range for this position is
Hybrid Commitment: $182,000–$227,000 USD Annually Fully Remote Commitment: $152,000–$189,000 USD Annually
This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).
The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.
Full Time Employee Benefits:
- Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
- Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
- Financial Wellness: 401(k) program and equity opportunities.
- Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
- Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
- Wellness & Development: Annual stipends to put towards personal & professional growth.
- Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
- Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.
Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.
Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
*Use of AI Tools:By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool,*[Gem](https://www.gem.com/)*, to assist in theinitial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role.* I*mportantly, no hiring decisions are made by the AI tool*.*All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with[California FEHA regulations on automated decision systems](https://support.gem.com/hc/en-us/articles/14870255473687-Gem-AI-Legal-Privacy-Compliance-FAQs#:~:text=How%20does%20Gem%20comply,non%2Ddiscriminatory%20hiring%20practices.)and[New York Local Law 144](https://support.gem.com/hc/en-us/articles/14870255473687-Gem-AI-Legal-Privacy-Compliance-FAQs#:~:text=How%20does%20Gem%20address%20NY,proper%20security%20and%20procedural%20standards.)can be found on the Gem compliance website.*We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at talentops@growtherapy.com. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.
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Навыки
- Product Management
- AI
- Machine Learning
- SQL
- API
- Data Modeling
- Revenue Cycle Management
- Fintech
- Systems Thinking
Возможные вопросы на собеседовании
Проверка опыта работы с AI/ML в реальных продуктах.
Расскажите о случае, когда вы использовали ИИ для автоматизации сложного бизнес-процесса. Как вы оценивали точность модели и какие компромиссы пришлось принять?
Оценка системного мышления и понимания финансовых потоков.
Как бы вы спроектировали систему сверки платежей (reconciliation), чтобы минимизировать расхождения в данных между страховыми компаниями и внутренними отчетами?
Проверка навыков приоритизации в условиях ограниченных ресурсов.
Как вы балансируете между исправлением текущих ошибок в биллинге и долгосрочными инвестициями в масштабируемую платформу автоматизации?
Оценка технической грамотности и взаимодействия с инженерами.
Опишите ваш опыт работы с API и моделями данных. Как вы объясняете сложные технические ограничения нетехническим стейкхолдерам (например, отделу финансов)?
Проверка эмпатии к пользователю и понимания продукта.
Кто является вашим основным пользователем в системе автоматизации биллинга и как вы собираете обратную связь для улучшения их ежедневного рабочего процесса?
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- Страна
- США
- Зарплата
- 152 000 $ – 227 000 $