Chief Operating Officer

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 (e.g., 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 (e.g., 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.