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Junior Product Manager — AI - at AI-powered mental health startup

Job in Foster City, San Mateo County, California, 94420, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-05-30
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 65000 USD Yearly USD 60000.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Junior Product Manager — AI ($60,000 - $65,000 USD) at AI-powered mental health startup

Job Title

Junior Product Manager — AI

Salary

$60,000 - $65,000 USD

Company Description

AI-powered mental health startup revolutionizing psychedelic therapy and personalized treatment plans for 90,000+ patients

Job Description

As a Junior Product Manager, you will join an execution-focused team leveraging AI and low-code platforms to scale life-saving mental health treatments. You will directly build features, optimize treatment journeys using autonomous AI agents, and run experiments to improve patient outcomes. This hands‑on role bridges the gap between behavioral science and cutting-edge technology.

Location

Foster City, USA

Why this role is remarkable
  • Ship products at lightning speed using a unique low-code/no-code approach that bypasses long engineering cycles, allowing you to move from idea to deployment in weeks.
  • Make a tangible impact on the mental health crisis by working on a platform that has already transformed over 90,000 lives using AI-driven ketamine therapy.
  • Learn directly from a high-caliber leadership team, including the VP of Innovation & AI, in a culture that values ownership and rapid professional growth.
What You Will Do
  • Build and enhance autonomous AI agents using n8n and other automation tools to guide patients through personalized treatment journeys.
  • Analyze product and clinical data to surface insights, scoping new features that improve patient acquisition, engagement, and retention.
  • Design and execute A/B tests and rapid experiments to measure the efficacy of AI-driven initiatives and dose optimization models.
The ideal candidate
  • Holds a degree in Neuroscience, Cognitive Science, Biology, or a similar life/behavioral science field, with a strong academic or clinical foundation.
  • Demonstrates technical curiosity through hands‑on experience with AI APIs, automation workflows, or low-code platforms like n8n.
  • Possesses an entrepreneurial mindset and excellent communication skills, capable of translating complex patient needs into functional, data‑backed product features.
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