Solutions Engineer

Salary Range: 120000 to 160000 (Currency: USD) (Pay period: per-year-salary)

WHAT YOU'LL DO:

• Lead technical discovery sessions to understand requirements, define success criteria, and determine solution fit. 
• Design and deliver customized demonstrations and proof-of-concept solutions that showcase IMO’s value in areas such as data normalization, discovery, responsible AI (including RAG), and data-lake integration. 
• Act as a trusted technical advisor by answering questions, mapping product capabilities to use cases, and addressing technical objections. 
• Travel to customer sites and industry conferences as needed to conduct discovery sessions, present demos, and represent IMO Health’s technical expertise. 
• Contribute to RFIs, RFPs, proposals, architectural designs, and level-of-effort estimates during the pre-sales process. 
• Partner with Account Executives to progress opportunities and ensure smooth transitions to implementation and customer success teams. 
• Build and maintain reusable notebooks, demos, and repositories that leverage IMO APIs for data setup, enrichment, and processing; provide clear runbooks and troubleshooting guides for field teams. 
• Collaborate with clinical experts to ensure demo content reflects real-world scenarios and healthcare standards. 
• Provide structured product feedback from the field to help prioritize enhancements with product and engineering. 
• Track demo feedback and win/loss insights to refine solution accelerators and inform the product roadmap. 
• Develop enablement resources such as how-tos, demo scripts, and presentation decks, and coach sales staff on discovery and demo best practices 

WHAT YOU'LL NEED:

• Bachelor’s degree in Computer Science, Software Engineering, Healthcare Informatics, or related field. 
• 3–6 years in pre-sales/solutions engineering or similar technical customer-facing roles (SaaS/healthtech preferred). 
• Hands-on experience with Python, APIs, and data tooling (e.g., Jupyter, Pandas); ability to deploy demos/POCs in AWS, Azure, or GCP. 
• Excellent communication skills with the ability to present to technical and non-technical audiences and manage objections in real time. 
• Strong problem‑solving, organization, and ownership in fast‑moving sales cycles. 
• Experience with RAG/LLM integrations and responsible‑AI validation workflows. 
• Proven success delivering engaging technical presentations and live demonstrations. 
• Knowledge of responsible AI practices and validation workflows, particularly in healthcare. 

PREFERRED:

• Background in data quality assessments, cohort building, or golden‑dataset management. 
• Hands-on experience building and deploying AI/ML models in healthcare environments. 
• Cloud/architecture certifications (e.g., AWS Solutions Architect, Azure Architect). 
• Familiarity with IMO products or similar healthcare ontology/normalization platforms. 
• Working knowledge of healthcare standards and interoperability (SNOMED, LOINC, FHIR, HL7) and integration with EHRs, data lakes, and AI/ML workflows. 
• Expertise in API integration with EHRs, data lakes, or clinical analytics platforms. 
• Strong understanding of security and compliance frameworks such as HIPAA and HITRUST. 
• Experience developing and deploying APIs with cloud-native tools and CI/CD pipelines on AWS, Azure, or GCP.