Sales Engineer
Posted Updated
Description
- As a Sales Engineer, you will operate as a lighter-weight forward deployed engineer embedded in our go-to-market motion — part builder, part consultant
- You will sit at the intersection of sales, product, and AI: writing code to prototype agentic demos, configuring use-case-specific agent flows, and then walking into the room to present them to clinical, commercial, and technical stakeholders
- You will partner with sales leadership on strategic pursuits across pharma and health systems, turning complex AI capabilities into demos and narratives that make prospects say “I need this.”
- Build and deliver tailored, high-impact demos of our agentic AI platform — hands-on prototyping of agent flows, scripts, and demo environments mapped to each prospect’s clinical and commercial workflows
- Write code where it moves deals forward: demo scaffolding, light integrations, data mocking, and rapid proofs of concept with LLM and agentic tooling
- Own the technical narrative in sales cycles — presentations, solution architectures, and ROI stories built alongside sales leadership
- Run discovery and scoping with prospects, translating requirements into agent and solution designs the way a consultant would structure an engagement
- Serve as the technical voice in the room — answering product, integration, and AI safety questions with credibility and clarity
- Support pilots and proofs of concept hands-on, bridging the gap between what was sold and what gets deployed
- Feed field insights back to Product and ML teams to sharpen the platform and the pitch
- This is a role for an engineer who wants to be client-facing — someone who can build with their hands and communicate with executive polish
- Consulting-grade client presence: structured thinking, executive-level presentations, and the ability to run a room
- Commitment to safety, ethics, and patient-centered outcomes
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Ability to code — comfortable in Python or JavaScript, working with APIs, and prototyping with LLM-based or agentic systems
- Strong storytelling and communication skills; able to make complex technology simple for both technical and non-technical audiences
- 3–5 years of experience spanning software engineering, forward deployed engineering, solutions/sales engineering, or technical consulting
- Self-starter who thrives in fast-moving, ambiguous, high-growth environments
- Familiarity with conversational AI, voice agents, or agentic workflows
- Experience in healthcare, pharma, or life sciences technology
- Forward deployed engineering, management consulting, or client-embedded delivery experience
- Experience supporting enterprise sales cycles with multiple stakeholders