Note: The job is a remote job and is open to candidates in USA. Trek Health is an AI platform for payer performance that helps healthcare provider organizations turn reimbursement data, contracts, policies, and claims into actionable intelligence. The Sales Engineer owns the technical side of the sales cycle by conducting discovery, delivering tailored demos, building proofs of concept, validating data, modeling ROI, and configuring AI agents for prospective clients.
Responsibilities
- Technical discovery. Partner with AEs during the sales cycle to uncover each prospect's use case, workflows, data landscape, and success criteria — and translate what you learn into a winning technical strategy for the deal
- Tailored demos. Demo the Trek platform in a way that maps directly to the client's needs and gets them excited about what they'll be able to do — including presenting specified demos and deliverables to large groups of executives
- Proofs of concept. Scope, build, and deliver technical POCs that prove Trek's value on the prospect's own entities, use cases, and data, and carry them through to contract
- Data validation. Go deep with the client's technical point of contact or analyst to validate that the data in our system for their entities looks right — the critical step before a client moves forward with us
- ROI modeling. Build ROI and business-case models that quantify Trek's impact and give champions the numbers they need to sell internally
- AI agents and skills. Configure AI agents, author skill files, and build custom client use cases on top of Trek's agent platform using the latest LLMs and models
- Voice of the field. Feed what you learn from prospects back to product, marketing, and leadership to sharpen our platform and our pitch
Skills
- You've spent real time in front of clients in a consultative, persuasive capacity — in sales engineering, management consulting, banking, strategy & ops, or a similar role
- You know how to earn trust and move a room
- You read people and organizations well: you pick up on what a client actually needs (not just what they say), sense where a deal stands, and adapt on the fly
- You work fluently with data — finding trends and patterns in messy datasets and using them to drive your decision-making, strategy, and client recommendations
- Nothing you present has an error in it
- You have hands-on experience configuring AI agents and building AI skills with modern LLMs
- You're the kind of person who tries every new model the week it ships
- You can explain a technical concept to an analyst and a business case to a CFO — often in the same meeting — and produce crisp, executive-ready deliverables
- You thrive with ownership and ambiguity, juggling multiple active deals and POCs at a startup's pace
- Experience in healthcare — revenue cycle management, payer contracting, price transparency, claims data, or health-tech more broadly
- Prior sales engineering, solutions consulting, or technical pre-sales experience at a data or SaaS company
- Comfort with SQL, Python, or similar tools for working with data at scale
Company Overview
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