Senior Product Manager, AI Coaching

Lark

$120K — $150K *
US-AnywhereRemote in United States
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of product management experience, focused on consumer products
  • Proven experience in building under constraints, with emphasis on user feedback
  • Hands-on background in shipping AI or LLM-powered features
  • Strong analytical skills and proficiency with tools like Braintrust, Mixpanel, or Looker
  • Understanding of behavior change principles and experience in regulated healthcare environments

Responsibilities

  • Lead the product work for Lark's AI Coaching experience
  • Drive the AI Coaching roadmap using member insights and behavior science
  • Design safety measures and human-in-the-loop processes for user trust
  • Implement a rigorous measurement practice for data-driven decision-making
  • Collaborate with App and Enrollment teams to align on member outcomes

Benefits

  • Comprehensive benefits package
  • Remote work flexibility within the U.S.
  • Eligibility for performance-related bonus programs
  • Potential stock awards
  • Opportunity to work at the forefront of AI and healthcare innovation
Full Job Description
The Role

We're hiring a Senior Product Manager to lead the product work behind our AI Coach, the experience at the heart of everything Lark does.

At Lark we are leading the way into a new era of cardiometabolic care, leveraging advanced AI to provide scalable, compassionate care. Our platform helps manage over 30 million lives for our partners, empowering users to prevent and manage conditions like diabetes, hypertension, and obesity. If you're excited to work at the intersection of healthcare, AI, and human-centered design, we'd love to meet you.
What you'll do

You'll lead the product work behind Lark's AI Coaching experience: the conversations, nudges, and interventions that turn what we know about a member into real behavior change. You'll work with a cross-functional team of engineers, designers, and data scientists to deliver features that improve the lives of our members.
  • Drive the AI Coaching roadmap, turning member insights, behavior science, and business goals into shipped work.
  • Build for trust, designing the guardrails and human-in-the-loop moments that keep members safe and confident.
  • Run a sharp measurement practice: clean experiments, the right metrics, and real evidence behind key decisions.
  • Partner tightly with the App and Enrollment teams on shared work and shared goals, keeping everyone aligned around member outcomes.
What you'll Need

You bring a builder's mindset. You've taken products from zero to one, you're comfortable in ambiguity and sharp with data, and you're curious about why people do what they do. You also know the hardest problems in AI coaching aren't the models. They're member trust, clear guardrails, and getting people and AI to work well together.
  • A track record of shipping consumer products people love, ideally on mobile. You've built under real constraints and learned from real users.
  • Real product judgment. You can feel the craft in what you've built.
  • Hands-on experience shipping AI or LLM-powered features, with a feel for what makes AI hard: accuracy, member trust, and designing for outputs you can't fully predict.
  • Strong analytics and experimentation instincts. You're fluent in tools like Braintrust, Mixpanel, Looker, or Snowflake, and you know AI quality takes more than a standard A/B test.
  • A feel for behavior change and for the line between coaching and clinical care, so you design responsibly in a regulated space.
What sets you apart
  • Experience with the Medicare or older-adult population, or in B2C health, wellness, or fitness.
  • Familiarity with responsible AI practices and the healthcare-specific questions that come with them.

Working at Lark

Lark operates as a remote organization, requiring all employees to reside within the United States. The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.

#LI-Remote

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