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Hippocratic AI is seeking a Sales Engineer to operate as a forward-deployed engineer embedded in the go-to-market motion. You will sit at the intersection of sales, product, and AI, writing code to prototype agentic demos, configuring use-case-specific agent flows, and presenting them to clinical, commercial, and technical stakeholders at pharma and health system prospects.
You will build and deliver tailored, high-impact demos of the agentic AI platform through hands-on prototyping of agent flows, scripts, and demo environments mapped to each prospect's clinical and commercial workflows. You'll write code where it moves deals forward—demo scaffolding, light integrations, data mocking, and rapid proofs of concept with LLM and agentic tooling. You will own the technical narrative in sales cycles, delivering presentations and solution architectures alongside sales leadership. You'll run discovery and scoping with prospects, translating requirements into agent and solution designs in a consulting-style engagement model.
As the technical voice in the room, you'll answer product, integration, and AI safety questions with credibility and clarity. You'll support pilots and proofs of concept hands-on, bridging the gap between what was sold and what gets deployed. You'll also feed field insights back to Product and ML teams to sharpen the platform and pitch.
Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, and AI pioneers from institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. The company recently raised a $126M Series C at a $3.5B valuation, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, and leading healthcare investors.
REQUIREMENTS
Must-Have:
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 3–5 years of experience in software engineering, forward deployed engineering, solutions/sales engineering, or technical consulting
- Ability to code in Python or JavaScript; comfortable working with APIs and prototyping with LLM-based or agentic systems
- Consulting-grade client presence: structured thinking, executive-level presentations, and ability to run a room
- Strong storytelling and communication skills; able to make complex technology simple for both technical and non-technical audiences
- Self-starter who thrives in fast-moving, ambiguous, high-growth environments
- Commitment to safety, ethics, and patient-centered outcomes
Nice-to-Have:
- Forward deployed engineering, management consulting, or client-embedded delivery experience
- Experience in healthcare, pharma, or life sciences technology
- Familiarity with conversational AI, voice agents, or agentic workflows
- Experience supporting enterprise sales cycles with multiple stakeholders
