Principal Solutions Engineer, Data & AI

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MedScout

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

MedScout is a company that leverages the latest healthcare claims data to provide actionable insights for MedTech commercial teams. Their platform is designed to simplify market analysis, strategy development, and sales execution, making it user-friendly for sales reps, sales management, and marketing teams. MedScout's proprietary dataset includes extensive claims from Medicare and Commercial payers, enabling users to identify and target best-fit physicians and healthcare sites, optimize territories, and understand referral behaviors. With an emphasis on data integration and usability, MedScout aims to enhance team effectiveness and boost sales revenue.

📋 Description

• Lead technical discovery and solution design for enterprise sales cycles • Diagnose customer commercial questions and map them to CRM, warehouse, identity, and vendor environments • Translate MedScout data into commercial insights, including coverage, latency, identity resolution, attribution, code-set logic, and patient-journey use cases • Own scoping and delivery of Snowflake Secure Data Sharing, Databricks Delta Sharing, cloud object storage, API delivery, CRM, and downstream analytics workflows • Own technical, methodology, and governance sections of RFPs, RFIs, security reviews, and questionnaires, including SOC 2, HIPAA, BAAs, and data use agreements • Coordinate data, engineering, product, and legal stakeholders and own response quality and turnaround • Enable demo environments with fresh data templates, working accounts, reset cadence, persona-specific paths, and packaged use-case plays • Own the technical narrative for MedScout’s in-product agent, public MCP server, and customer AI-tool integrations • Address AI provenance, grounding, access control, and governance questions • Track the AI-tool ecosystem and translate developments into customer data solutions • Convert field knowledge into discovery guides, training materials, answer libraries, architecture patterns, and enablement • Run feedback loops from the field back to Product • Collaborate with Sales, Product, Data, Engineering, and commercial leadership

🎯 Requirements

• 5+ years in a customer-facing technical role such as solutions engineer, sales engineer, solutions architect, solutions consultant, or heavily client-facing data consulting • Personally owned the technical outcome of enterprise deals • Hands-on experience with Snowflake, Databricks, or an equivalent modern data warehouse platform • Ability to write and tune SQL against very large tables • Understanding of warehouse cost and performance • Experience setting up or consuming secure data shares • Experience with Streamlit in Snowflake, Databricks Apps, or modern BI tools such as Tableau, Hex, or Superset is a bonus • Experience delivering data into another organization’s environment via warehouse share, API, or file • Experience with security reviews and data use agreements • Credible knowledge of REST API design, authentication, pagination, rate limits, and webhooks • CRM fluency, including managed packages, object models, field mapping, and sync direction • Ability to advise on Salesforce, HubSpot, or Dynamics data integration • Working command of healthcare claims or real-world data concepts including CPT, HCPCS, ICD-10, PLA, DRG, place of service, NPI and taxonomy, and site-of-care logic • Strong technical communication and writing skills • Daily working use of AI tools such as Claude, ChatGPT, Copilot, Cursor, or similar • Builder mindset and experience creating reusable tools or processes • Strongly preferred: MedTech, diagnostics, or digital health commercial experience • Strongly preferred: experience at a claims or provider intelligence vendor • Strongly preferred: familiarity with MCP, agent tooling, or LLM-powered workflows on a data product • Strongly preferred: BI depth and comfort with basic Python • Strongly preferred: exposure to enterprise healthcare security and governance review • Ability to work in the US, as indicated by the required application question asking whether the applicant is based in the US • Must address whether US work sponsorship is currently or potentially required

🏖️ Benefits

• Fully covered healthcare • Vision, dental, and 401k package • Generous budget for learning and development • Tools to make you more effective • Stipends for new office setup and continued support • Stipends for health and wellness • Remote first culture • On-sites with the rest of the MedScout Team • Nice hotels and meals when traveling for work