Senior AI Product Manager- EZRA
About The Position
EZRA is seeking a Senior AI Product Manager to own the AI experience within its coaching platform, including Cai. AI is central to the product, and this role is accountable for the user experience, product effectiveness, and operating economics. The Product Manager partners closely with Engineering, which owns technical architecture and model selection, and coaching experts, who contribute coaching methodology. Success means becoming the clear product owner for the AI experience, making high-quality product decisions independently, and developing trusted AI coaching experiences that measurably improve outcomes and make economic sense at enterprise scale. The position is based in New York, US, or Toronto, Canada, with a hybrid schedule of three days per 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 limitations, failure modes, and evaluation methods.
- 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 and 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 in the coaching platform, including Cai, from product direction through launch and iteration.
- Make product decisions about AI functionality, user experience, measurement of effectiveness, 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 using conversational data review, product data, and outcome measures rather than engagement alone.
- Manage trade-offs among quality, latency, reliability, safety, and cost, designing for trust and confidentiality in personal conversations.
Benefits
- A personal world-class coach for professional and personal growth.
- Coaching for friends and family.
- Charity days.
- Learning budget.
- Weekly wellbeing hour without meetings or email.
- 23 vacation days and 3 floating holidays.
- 401k.
- Comprehensive health insurance.
- Comfortable, collaborative, and inclusive workplace.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
