About Us
Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.
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.
About the Role
As a Technical Program Manager (TPM) at Hippocratic AI, you’ll play a pivotal role in bringing cutting-edge AI research into production and launching new products and markets for our generative, voice-based healthcare agents.
You’ll work at the intersection of AI research, engineering, and product, turning experimental systems into clinically safe, scalable, and regulated products used by healthcare professionals and patients around the world.
This means driving complex, cross-functional programs—from early prototyping to product launch—while ensuring reliability, compliance, and real-world impact.
This role is ideal for someone who loves translating frontier AI research into production systems, thrives in ambiguity, and enjoys building the connective tissue between teams to deliver ambitious outcomes quickly and safely.
What You'll Do:
Drive productionization of AI research: translate emerging LLM and agentic system prototypes into deployable, clinically safe products.
Lead cross-functional programs spanning research, engineering, product, and clinical operations to bring new AI capabilities to market.
Define and own program plans, success metrics, and execution timelines across multiple product areas and markets.
Build lightweight processes and tools (using AI, automation, or no-code platforms) to accelerate research-to-product velocity.
Ensure launch excellence—overseeing validation, safety reviews, go-to-market readiness, and feedback loops for post-launch learning.
What You Bring
Must Have:
3+ years of experience in technical program management, product engineering, or applied AI roles.
Proven track record shipping AI or ML-powered products—from prototype to production, ideally in a regulated or safety-critical domain.
Strong technical background and ability to engage deeply with AI researchers, ML engineers, and infrastructure teams.
Exceptional program design, prioritization, and communication skills, with the ability to align diverse stakeholders.
Comfort operating in fast-paced, ambiguous environments where both rigor and speed matter.
Nice-to-Have:
Experience with LLM, RAG, or multi-agent systems and understanding of model evaluation or deployment workflows.
Familiarity with healthcare, compliance, or enterprise SaaS launches.
Experience using no-code / low-code platforms (Airtable, Retool, Zapier) or AI automation tools to streamline operations.
Prior work managing international product launches or new market expansion for AI technologies.
If you’re excited about turning AI breakthroughs into real-world products that improve patient care and safety, this is your chance to lead at the frontier.
Join Hippocratic AI and help bring clinically safe generative AI to healthcare at scale.
