About Us

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.

Why Join Our Team

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.

About the Role

• Go onsite and meet with senior client leaders, and operational teams to understand the critical questions they need to answer and locate their biggest problems.
• Identify relevant datasets, workflows, and operational bottlenecks through deep engagement with customer problems.
• Own end-to-end customer deployments: workflow discovery, solution design, configuration, rollout, adoption, and ongoing optimization.
• Work with Forward Deployed Engineers to integrate data into stable and extensible pipelines and ensure smooth technical execution.
• Build customized workflows for new user groups across patient services, clinical operations, contact centers, and HCP enablement.
• Lead training sessions to ensure the product is meeting user needs and having concrete impact on operations and patient care.
• Drive analytics on deployment performance—measure outcomes, identify bottlenecks, and recommend data-driven improvements.
• Present the results of our work and proposals for future work to audiences ranging from Directors to C-suite executives.
• Embed with our Product and Engineering teams to incorporate what you see in the field into cross-company product offerings.
• Build and deliver demos to new and existing customers.
• Manage stakeholder relationships from project teams to executives, acting as a trusted advisor and execution partner.
• Scope out potential expansion opportunities within existing accounts and new use cases.
• Serve as the dedicated customer success owner for your life sciences accounts—building executive relationships, running quarterly business reviews, and driving adoption, retention, and renewals.
• Define and track success metrics and ROI tied to each customer's scientific, clinical, and commercial goals, and proactively surface risks before they affect health and renewal.
• Tailor deployments to life sciences use cases across MedTech, medical devices, biotech, and pharma—such as patient and HCP engagement, clinical trial recruitment, adherence, medical information and field support, and device onboarding.
• Partner with customers' regulatory, quality, medical affairs, and compliance teams to ensure deployments meet life sciences standards (e.g., GxP, HIPAA, FDA, and EMA expectations).
• Act as the voice of the life sciences customer internally—channeling sector-specific needs back to Product and Engineering to shape the roadmap.
• Bachelor's degree from an accredited university.
• 5+ years of experience in life sciences consulting and customer-facing strategy + implementation
• Demonstrated experience leading complex implementations or customer engagements in fast-paced, ambiguous environments.
• Strong analytical and quantitative skills—comfort with data, metrics, and using analytics to drive decisions.
• Experience with programming, scripting, or analytical tools (e.g., Python, R, SQL, Excel).
• Excellent communication and stakeholder management skills across diverse audiences (clinical staff, IT, executives).
• Comfort operating autonomously in client-embedded environments with minimal oversight.
• Ability to travel 25–50%, including overnight and out-of-state trips.
• A generalist across, or an expert in, one of the life sciences fields - clinical trials, patient services, HCP enablement, med devices, or other.
• A customer-success mindset—ownership of adoption, retention, and account health—paired with the strategic and technical depth to drive complex deployments.
• Familiarity with life sciences data standards and workflows.
• Background at companies with forward-deployed models or top life sciences consulting firms.
• Experience deploying or scaling AI, ML, or enterprise SaaS products.
• Startup experience and comfort building from scratch.
• Experience presenting outcomes and best practices at conferences or executive forums
• Prior customer success, account management, or renewals experience, ideally owning a book of enterprise accounts.
• Familiarity with life sciences regulations and frameworks such as GxP, GCP, 21 CFR Part 11, HIPAA, and FDA/EMA submission and pharmacovigilance processes.