Special Projects Lead

About Us

We are fixing US healthcare by building an AI-native physical care platform, starting with home health.

Home health is a $140B industry with less than $10B in EBITDA — 40% of revenue is spent on pure administrative waste. We automate this work with AI, creating a fundamentally different cost structure compared to incumbents. This lets us rapidly take market share by serving the 30% of patients who go untreated today.

We've built one of the best AI teams in the world (from Character AI, Scale, Palantir, Citadel, Jane Street) and paired them with a team of healthcare veterans and strategists to build a new type of healthcare company: one that delivers care at the speed of an AI company.

Our physical care platform already operates with 30pp higher gross margins than traditional home health providers. With our AI advantage, we pay nurses more, remove their admin burden, and unlock the scale economics that have been missing from this fragmented industry.

We're starting with home health, then expanding to all delivered care. Our mission "any care, any where".

Fundamentally, our incentives are aligned with America. Every dollar in revenue we make is two dollars taken out of the healthcare system. If we succeed, so does US healthcare.

We're building an AI operating system that automates the entire back office of home health—collapsing 20+ traditional roles into 2. To win, we need someone who owns the operational stack
: the complex, high-leverage workflows where automation meets the real world of patient care.

You will own critical operational domains end-to-end, get deep into the workflows that drive care delivery and revenue, and work directly with product and engineering to ensure we build the right solutions. Think of it as a blend of:

• Operational strategy (decide which workflows to optimize and in what sequence—these choices determine how fast we scale and which patients we can serve)

• Workflow mastery (map real processes step-by-step, find the leverage points where better systems change the economics of care delivery)

• Cross-functional translation (bridge the gap between operators, clinicians, and engineers—turn messy real-world complexity into crisp requirements that ship)

You'll be one of the earliest operational leaders at the company, working directly with the founders, engineering, and operations to build the systems that power care delivery across the USA. This role is an operations track that also supports people still figuring out what they want to grow into—strategic finance, product leadership, P&L ownership, or a COO-style path depending on where you spike.

This role is designed for you if you have a low ego, love solving problems that matter, and are ready to build an industry-changing company.

You'll own high-impact, ambiguous problems end-to-end, such as:

1. Own operational domains and drive cross-functional initiatives

• Own end-to-end planning and execution for one or more operational areas:
  Intake (referral processing, eligibility, scheduling), Clinical operations (documentation workflows, QA), RCM (prior auth, collections, billing), or growth and partnerships

• Scope, plan, and deliver strategic initiatives that integrate software solutions and operational improvements—you're the connective tissue between what operators need and what engineering builds

• Build new teams and departments as the company scales—you'll be at the forefront of standing up the functions that don't exist yet

• Oversee and develop a team of operators, setting priorities, removing blockers, and raising the bar on execution quality

2. Get deep into the workflows you're improving

• Spend time with operators and clinicians to map processes step-by-step: inputs, outputs, handoffs, exceptions, failure modes

• Identify the bottlenecks that matter—where time, cost, or errors concentrate and prioritize ruthlessly

• Own real-world care and financial outcomes for your domains

3. Turn complex problems into crisp specs and recommendations

• Break down ambiguous operational problems into clear requirements, user stories, and acceptance criteria that engineering can build against

• Use analytical…