Solutions Engineer

Remote (U.S.)

About Insight Health AI

Insight Health AI is building AI-native clinical intelligence designed to work inside the reality of healthcare—not around it.

We reduce documentation burden, improve clinical accuracy, and support better care by embedding AI directly into existing clinical workflows, including legacy EHR environments. Our platform is built by clinicians and engineers who deeply understand the constraints of healthcare systems and believe AI should be practical, trustworthy, and human-centered.

We partner with forward-thinking physician groups, medical practices, and health systems to deploy AI safely, compliantly, and with measurable impact.

We are a venture-backed, early-stage company with a small, high-impact team. This is a chance to help define how AI is evaluated, sold, and adopted in real-world clinical settings.

About the Role

We’re hiring a Solutions Engineer to serve as the technical, clinical, and strategic partner across the sales cycle—from first discovery through technical validation and handoff.

This role sits at the intersection of sales, product, engineering, and clinical operations. You’ll help prospective customers understand what’s possible, what’s practical, and what’s worth prioritizing—especially in environments with legacy EHRs, imperfect data, and complex workflows.

You’ll work alongside Account Executives to uncover real customer pain, design integration-aware solutions, deliver credible demos, and clearly communicate tradeoffs to both technical and non-technical stakeholders.

It’s hands-on, consultative, and requires comfort operating in ambiguity.

What You’ll Do

Lead Technical & Workflow Discovery

• Partner with Account Executives to run deep discovery with physician groups, clinics, and health systems

• Map existing clinical workflows end-to-end (documentation, intake, handoffs, EHR usage) to uncover real pain points

Design & Explain Integration-Aware Solutions

• Design pragmatic solutions that work with legacy EHRs, APIs, and imperfect data

• Evaluate integration paths (FHIR, HL7, APIs, custom workflows) and communicate constraints clearly

• Explain technical tradeoffs, risks, and timelines in plain language to non-technical stakeholders

Drive Technical Pre-Sales Execution

• Deliver tailored demos that resonate with clinicians, operators, and technical teams

• Support technical validation, security reviews, and compliance discussions (HIPAA, PHI handling, SOC 2)

• Assist with RFPs, architecture reviews, and technical stakeholder conversations

Support Seamless Handoff & Adoption

• Partner with Clinical Success and Engineering to ensure clean handoffs post-sale

• Document solution assumptions, workflows, and integration touchpoints

• Help ensure what was sold can be implemented successfully

Operate with Ownership in a Startup Environment

• Build repeatable discovery motions, demo flows, and technical playbooks from scratch

• Surface customer feedback to influence product roadmap and GTM strategy

• Balance speed and rigor—favoring pragmatic implementation over over-engineering

Who You Are

Required

• 3+ years in Solutions Engineering, Sales Engineering, Technical Pre-Sales, or Solution Architecture

• Experience working with complex systems, integrations, or APIs in real customer environments

• Comfortable troubleshooting using tools like Postman, logs, SQL, or similar

• Strong ability to translate technical concepts into clear business and clinical value

• Confident leading conversations with clinicians, operators, IT, and security stakeholders

• Comfortable operating in ambiguity and building structure where none exists

Strongly Preferred

• Experience with healthcare data systems (EHR/EMR, clinical workflows, healthcare APIs)

• Familiarity with Epic, Cerner, Athena, ModMed, or similar platforms

• Experience supporting enterprise or mid-market healthcare sales cycles

• Background in healthtech, healthcare consulting, informatics, or data platforms

Nice to Have

• Experience with AI/ML-enabled products or clinical automation tools

• Prior experience in a small or early-stage startup

• Exposure to security, compliance, or regulated data environments

What Success Looks Like

• Customers feel understood, not sold to

• Technical risks are surfaced early, not discovered late

• Demos feel relevant, grounded, and credible to clinicians

• Sales cycles move faster because trust is established

• The SE function becomes more repeatable over time—without losing nuance

Why Join Insight Health

• Help define how AI is responsibly adopted in healthcare

• Work directly with clinicians, engineers, and founders

• High ownership, high impact role at an early-stage company

• Remote-first with flexibility and trust

• Competitive compensation and meaningful equity