Location: Bangalore

Reports to: Founder & CEO

Mission & Context:

- We are not a software company; we are an operating company that buys and transforms medical practices using our own AI platform.

- As COO, you are the company's operational, financial, and go-to-market engine.

- You are the critical bridge between the technology our engineering team builds and the real-world results (EBITDA, growth, market credibility) we need to achieve.

- You own everything outside of pure engineering and model research, and you are responsible for making it all happen in parallel.

- You will own and execute three distinct, simultaneous workstreams.

- Success requires managing all three from Day 1.

Domain I: Inward (Build the Tools)

- What: Lead the development of four new operational AI agents from concept to sprint-ready status.

Key Tasks:

- Write board-quality Product Requirement Documents (PRDs) for four agents: Financial Margin, Supply Chain, Scheduling/Staffing, and Training/Outcomes.

- Hire four exceptional "agent lead" engineers to build these tools.

(First hires within 90 days).

- These engineers will report directly to you, and their work will be tracked on a company-wide leaderboard.

Domain II: Application (Deploy & Prove)

What: Deploy our full AI stack into newly acquired medical practices to generate measurable EBITDA growth.

Key Tasks:

- Execute a 24-week deployment playbook at acquired California practices.

- Build and manage a team of "Forward Deployed Engineers" (FDEs) who handle the on-the-ground implementation.

- Create a measurement system to track key metrics (denial rates, documentation time, EBITDA) and prove the pre- vs. post-AI impact.

- Package these results into materials for investors and consulting partners.

Domain III: Outward (Raise & Partner)

What: Drive the company's capital-raising strategy and build high-impact consulting alliances.

Key Tasks:

- Execute the "Magnetar" capital roadmap, targeting a $250M fund.

- Manage investor outreach to a pipeline of 30 VC/PE firms and healthcare family offices.

- Build a strategic alliance with top-tier consulting firms (starting with BCG) to create a certification program for deploying our AI at scale.

- Oversee the team managing the pipeline of six targeted clinic acquisitions.

Skills and Qualifications:

- A Scaled Healthcare Operator: You have deep, hands-on experience running a healthcare or health-tech business.

- You intuitively understand revenue cycles, payer dynamics, and clinical workflows.

- AI-Native: You don't just "use" AI; you live in it.

- You build your own automations and intelligence briefings using tools like Claude Code.

- You set the same high bar for yourself as you do for your engineers.

- Capital-Formation Ready: You have experience raising institutional capital or managing a fundraise.

- You understand LPs, data rooms, and the narrative required to secure credit facilities.

- A Parallel Processor: You can manage multiple high-stakes workstreams simultaneously (deployment, fundraising, alliances) from Day 1 without getting overwhelmed.

- A True Startup Veteran: You have built things from scratch, made hiring mistakes, course-corrected in real-time, and operate with an "ownership" mindset, not a "task-execution" one.

Ideal Experience:

- Experience with healthcare M&A, practice acquisitions, or PE-backed roll-ups.

- Background in building consulting alliances (with Big Four firms).

- Experience managing implementation teams or Forward Deployed Engineers.

- Familiarity with agentic AI frameworks (LangGraph, ADK) enough to write compelling PRDs.

- Experience building fund vehicles or relationships with family offices in the $10M-$250M range.

Success metrics:

- Your performance is tracked weekly on a transparent leaderboard alongside the CTO and Model Lead, across five dimensions:

(a) Domain Execution (30%): Hitting acquisition, deployment, and team-building milestones.

(b) Strategic Progress (25%): Advancing the capital roadmap and alliance partnerships.

(c) Cross-Pollination (15%): Ensuring engineering feedback informs deployments and model capabilities are reflected in investor pitches.

(d) Team Development (15%): Building a strong FDE program, hiring top talent, and maintaining team satisfaction.

(e) Communication Quality (15%): Providing clear, structured, and actionable updates on all fronts.

First 90-day plan:

- Week 1: Set up your AI environment, communication channels, and submit your first memo.

- Week 2: Draft PRDs for the four agents and kick off the hiring process.

- Weeks 3-4: Build your dashboards, finalize the California deployment plan, and start scheduling investor meetings.

- Weeks 5-8: Begin California assessments, conduct investor meetings, initiate BCG outreach, and hire agent leads.

- Weeks 9-12: Get the first AI agent live in California, have all agent leads hired and onboarded, and advance BCG to a pilot proposal stage.

Please feel free to apply even if you're an 80% match, we're looking for the right combination of skills and attitude