About Us
Hippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, Advocate, and Ohio Health, is building the most transformative company in healthcare in history.
Why Join Our Team
- Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.
- Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
- Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.
Role Overview
We are seeking a
founding Revenue Operations Director to build, scale, and own the technical infrastructure, and analytics that power Hippocratic AI’s growth.
This first-in-seat leader will architect our
RevOps systems, drive
quantitative analysis and financial modeling, and serve as a
strategic thought partner to the executive and GTM leadership teams.
The ideal candidate combines
deep analytical expertise with strong business acumen to create scalable processes, actionable insights, and infrastructure in support of our sales and customer teams.
Responsibilities
Infrastructure & Systems
- Build and manage the end-to-end revenue technology stack (CRM, marketing automation, BI tools, data pipelines) to support forecasting, pipeline tracking, and GTM automation.
- Ensure clean, accurate data and robust reporting across all GTM functions.
Quantitative Analysis & Modeling
- Develop and maintain predictive models for pipeline health, sales capacity planning, pricing, and revenue forecasting.
- Translate complex data into clear, actionable recommendations for executive leadership.
Strategic Leadership
- Act as the operational and analytical right hand to the executive leadership in shaping Hippocratic AI’s go-to-market strategy.
- Present key insights to executive stakeholders to inform resource allocation and strategic planning.
Qualifications
Must Haves
- 10+ years of experience in Revenue Operations, Sales Operations, Strategy/Analytics, or related roles within high-growth SaaS or enterprise technology companies (healthcare or AI experience a plus).
- Demonstrated excellence in quantitative analysis and financial/operational modeling to guide strategic decision-making.
- Deep knowledge of CRM systems (HubSpot), data visualization tools (Looker,), and other GTM tech platforms.
- Strong technical skills with SQL, Python, or advanced Excel modeling for data manipulation and forecasting.
- Proven success collaborating cross-functionally with Sales, Marketing, Product, and Finance to drive revenue growth and operational efficiency.
- Builder mentality and ability to thrive in a fast-paced, ambiguous startup environment.
Nice to Haves
- Experience leading RevOps in an early-stage, high-growth startup.
- Familiarity with AI, healthcare technology, or regulated industries.
