Revenue Operations Director

Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

Location Requirement

We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.

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.

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.

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-Have

• Experience leading RevOps in an early-stage, high-growth startup.

• Familiarity with AI, healthcare technology, or regulated industries.

Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.