Senior AI Product Manager- EZRA
About The Position
EZRA is seeking a Senior AI Product Manager to own the AI experience in its coaching platform, including Cai. The role is responsible for product direction, user experience, effectiveness, and operating economics. The product manager partners with Engineering, which owns technical architecture and model selection, and coaching experts, who contribute the coaching methodology. Success means becoming the clear product owner for the AI experience, making high-quality product decisions independently, and building trusted AI coaching experiences that measurably improve outcomes and make economic sense at enterprise scale. The position is hybrid, based in New York, US, or Toronto, CA, with three days a week in the office.
Requirements
- Significant product management experience in AI-native or AI-first products.
- Personally shaped and shipped an LLM-based conversational product designed to support behavior change.
- Practical understanding of modern LLMs, including their limitations, failure modes, and evaluation.
- Experience reviewing sensitive conversational data at scale within privacy controls and translating it into product decisions.
- Ability to build prototypes using code, AI-assisted development tools, or low-code environments.
- Startup or scale-up background with a track record of measuring outcomes, not just usage.
Nice To Haves
- Experience in digital mental health, health coaching, AI tutoring, AI coaching, or another behavior-change product.
Responsibilities
- Own AI capabilities within the coaching platform, including Cai, from product direction through launch and iteration.
- Make product decisions about AI functionality, user experience, effectiveness measurement, and operating costs.
- Turn emerging LLM capabilities into product experiences that create meaningful, measurable behavior change.
- Lead rapid experimentation across prompts, context, memory, retrieval, agents, and tools; prototype ideas when that is the fastest way to learn.
- Define evaluation methods for probabilistic AI experiences, combining conversational data review, product data, and outcome measures rather than relying on engagement alone.
- Manage trade-offs among quality, latency, reliability, safety, and cost, while designing for trust and confidentiality in personal conversations.
Benefits
- Personal and professional coaching from a world-class coach.
- Coaching for friends and family.
- Charity days.
- Learning budget.
- Weekly wellbeing hour with no meetings or emails.
- 23 vacation days and 3 floating holidays.
- 401k.
- Comprehensive health insurance.
- Comfortable, collaborative, and inclusive workplace.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
