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We’re hiring

Careers at The Path.

Over 3 billion people a year need help their circumstances won't let them get. Price, geography, stigma, and language keep out more than 90% of them. We're closing that gap, because help shouldn't depend on privilege, and clarity is the first act of care. Every role here, engineering, clinical, design, operations, moves that work forward. Join a small, in-person-first team in San Francisco building the AI and the clinical research behind it.

Open roles.

These openings update live from our hiring board. Meet our team before you apply.

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Who you'd work with

The team.

Founded by the team that built Calm's data, AI, and engineering foundation through its scale to a $2B valuation. Small by design, we're building The Path with the same lean, high-talent DNA.

Meet the full team

Our standards

How we work.

Mission-obsessed.

This is our life's best work.

A players only.

The bar is high on purpose.

High-leverage, low-ego.

We're entrepreneurs first.

Dr. Anson Whitmer, CEO and co-founder of The Path

Dr. Anson Whitmer

CEO and Co-Founder

A note from Dr. Whitmer.

I think 996 is stupid. Spend that much time stuck in an office and you'll waste it. I'd rather we spend our time well.

I'm a father of two. So is Tyler. We both aim to be excellent dads. I'm also a retired semi-pro rock climber, still hungry. This year I'm trying to send The Swarm, V14, in Bishop.

None of that means we treat this like a 9-to-5. We walk home thinking about problems and go to bed thinking about solutions. We're hungry, talented, and driven to have an outsized impact, and we like the tension between running a mission-driven company and building something that could be worth a trillion dollars, if we move fast enough.

If that sounds like you, you're who I'm looking for.

— Dr. Anson Whitmer, CEO

Founding story

Why we built this.

Dr. Whitmer started this work after losing two family members to suicide. He left academia, joined Calm as its founding data scientist, and later teamed up with Calm's founding engineer, Tyler, to build what they believe is the best AI therapy in the world.

Read Dr. Whitmer's founding story

When Dr. Whitmer was 19, his uncle and best friend died by suicide. He went to graduate school for psychology and became an expert in mood disorders. During his postdoc, his cousin died the same way. He left academia. The field was making real progress on understanding mental illness; almost none of that progress was reaching the people who needed it.

He joined Calm as the founding data scientist and stayed through the scale-up, from a one-bedroom apartment to a $2 billion valuation, eventually leading data science and AI. There he met co-founder Tyler Sheaffer, Calm's founding engineer and a member of the five-person executive team. Tyler, in Dr. Whitmer's words, built the product "with his bare hands."

Calm reached millions. It wasn't reaching men. Men account for roughly 80% of suicides in the U.S., which means any approach to the suicide crisis that can't reach men isn't really an approach.

In 2022 they founded Dig Deep, Inc. and launched Mental, an app built for the kind of man who doesn't do therapy. Quieter at first, they made an early bet on AI therapy, a format that removed the objection keeping many men out of treatment in the first place: having to say it out loud, to another person.

In late 2024 a third generation of that AI shipped on a new architecture and quickly became the most-used feature in the app. Men who had avoided therapy and mental health apps were doing regular work on themselves through an AI. Around that point Tony Robbins reached out, having sampled the market and concluded this was the best AI therapy he'd found.

In April 2026 the team launched The Path on the same engine, built for everyone and available in over 50 languages. That is the work you would be joining.

Our team page carries the full origin story in more depth, including the research and the people behind it.

The business case

The opportunity.

Therapy is a $120B market, and it grows as access barriers come down. General-purpose AI models optimize for engagement. That's part of why they flatter instead of help. Winning this space takes specialized data and a team that understands both the clinical side and the AI, which is exactly what we've built here.

Feature The Path General Use AI
Optimized for outcomes
Persistent cross-session memory
Evidence-based clinical frameworks
Challenges cognitive distortions
Session length limits (anti-engagement design)
Bridge to Safety (988 escalation)
Purpose-built for therapy
Questions candidates ask

Ethical considerations.

How do you handle crisis states?
Our AI isn't built to handle crisis states. When it detects one, it tells the person directly that it can't help with this and points them to in-person resources, 988, or the ER if risk is immediate. Every model change gets tested against simulated crisis scenarios before it ships.
Are you treating medical conditions or disorders?
No. We work on sub-clinical problems, helping people find insight and make behavioral changes. The Path does not diagnose or treat any medical disorders or mental health conditions. While clinical trials and FDA approval for mental health conditions are in our long-term plans, this is not the wellness and coaching product we're building today.
Are your models optimized for engagement or retention?
Our system optimizes for whether it actually helped you. Time spent in the app is never a success metric here. Most AI in this space, including general mental health apps, optimizes for engagement, which is part of why models end up flattering people instead of helping them, and occasionally encouraging harmful behavior outright.
Are you building an emotional crutch?
The goal is to build your skills so you need us less over time. Leaving retention out of the objective function makes that easier to actually do.
Are you trying to replace human therapists?
Humans stay essential, but their role shifts. Real change comes from three places: emotional connection, insight, and behavioral change. Humans will always do emotional connection better than AI will. We're building toward AI that matches or exceeds humans on insight and behavioral change, which is where the scale problem actually is. There aren't enough therapists on Earth to treat 3 billion people a year.
Does this work as a business if you're not optimizing for retention?
Yes. Therapy is already a $120B market, and people pay for outcomes.

Don’t see your role?

Reach out anyway.

If you’re passionate about our mission and have evidence of exceptional ability, we want to hear from you.