Sr. Product Manager - AI

About The Role

We’re shaping the future of mental health care with AI-enabled experiences that enhance, not replace, the human connection at the core of therapy. Our north star is clinically-grounded and responsible AI designed to bring greater transparency, personalization, and continuous support across the therapy journey. Our work transforms therapy into an experience that’s more connected and accessible. As we expand our portfolio of AI experiences, we’re scaling our team to drive innovation and set a new standard for mental health care.

We’re hiring a Sr. Product Manager - AI to launch and scale AI-powered features that transform the patient experience at Rula. This role will explore how AI can support patients before, during, and after care, always in partnership with their human therapist, so patients feel more engaged, supported, and empowered in their therapy journey.

You’ll work at the intersection of AI, clinical expertise, and product innovation, partnering with clinicians, engineers, data scientists, and designers to prototype and test new patient-facing features. Your focus will be on building safe, supportive, and personalized AI experiences that enhance care while maintaining the highest clinical standards. This is a unique opportunity to define how cutting-edge technology can responsibly improve mental health access and outcomes.

Required Qualifications

• 5+ years of product management experience, including 2+ years building user-facing AI features.
• Strong execution and delivery skills, with proven ability to scope MVPs, align stakeholders, and ship quality products in 0 to 1 environments.
• Excellent communication skills, with the ability to translate clinical and technical concepts into actionable product frameworks.
• Experience facilitating highly cross-functional teams (data science, ML engineering, clinical experts, design, and engineering).
• Demonstrated ability to make tradeoffs and clear decisions in ambiguous, high-stakes environments.

Preferred Qualifications

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

• Hands-on experience with AI/ML prototyping or tools (e.g., prompting, RAG, evaluations).
• Demonstrated ability to set a holistic product vision while executing iteratively.
• Familiarity with building and evaluating AI quality metrics and incorporating them into product decisions.

We're serious about your well-being!

As part of our team, full-time employees receive:

• 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)
• Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access: Start saving for your future
• Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
• Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
• Employee Assistance Program (EAP): Support for your mental and physical health
• New hire home office stipend: Set up your workspace for success
• Quarterly department stipend: Fund team-building activities or in-person gatherings
• Wellness events and lunch & learns: Explore a variety of engaging topics
• Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all

Our Team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

Key skills/competency

• Product Management
• AI/ML Development
• User Experience (UX)
• Cross-functional Collaboration
• Clinical Integration
• MVP Scoping
• Stakeholder Alignment
• Data Science
• Prompt Engineering
• Responsible AI