Solutions Engineer

Smarter Technologies is a healthcare technology company focused on transforming how healthcare services are delivered, managed, and reimbursed through intelligent software and automation. The Solutions Engineer will lead pre-sales activities, ensuring alignment between sales and delivery while enhancing deal capacity and maintaining delivery integrity.

Responsibilities:

• Lead structured discovery across RCM workflows, data requirements, integrations, and success metrics
• Deliver tailored, credibility-driven demos that surface real operational pain points (eligibility, denials, AR follow-up, prior auth, etc.)
• Translate customer workflows into realistic automation plans
• Scope data requirements and assess integration feasibility at a high level (APIs, files, system constraints)
• Identify risks, assumptions, and dependencies early to provide proper sales alignment
• Partner with Account Executives on technical validation, objection handling, and scope-to-price alignment
• Document solution assumptions, constraints, and integration requirements for clean handoff
• Participate in kickoff and early implementation checkpoints to reduce rework
• Help clarify workflows and validate early acceptance criteria when needed
• Surface risks early and coordinate mitigation across Sales, Product, and Delivery
• Create reusable assets (discovery templates, demo frameworks, scoping checklists)
• Improve consistency and quality across concurrent deals
• Contribute to the long-term structure and maturity of the Solutions Engineering function

Requirements:

• 3–7+ years in Solutions Engineering, Technical Implementation, TPM, or Solutions Consulting within healthcare or health-tech
• Direct exposure to healthcare Revenue Cycle Management workflows (eligibility, denials, coding, AR follow-up, prior auth, etc.)
• Demonstrated experience leading customer-facing technical or workflow conversations
• Ability to translate ambiguous customer problems into structured solution plans
• Working understanding of software development lifecycle and integration concepts
• Experience delivering AI or automation solutions within healthcare environments
• Background in RCM-focused SaaS or services
• Experience operating in early-stage or rapidly evolving product environments
• Comfort with lightweight data analysis or scripting (Python preferred)
• Strong operational discipline across notes, follow-ups, and stakeholder alignment
• Habitual use of AI tools to accelerate research, documentation, and deal support