MedScout - Principal Solutions Engineer, Data & AI
Requirements
• 5+ years in a customer-facing technical role. Solutions engineer, sales engineer, solutions architect, solutions consultant, or heavily client facing data consulting. Title matters less than scope: you have personally owned the technical outcome of enterprise deals. • 5+ years in a customer-facing technical role. • Credible on modern data platforms. Snowflake, Databricks, or equivalent. You write SQL comfortably, and you understand at a working level how warehouse cost, performance, and secure data sharing behave. You need enough depth that a customer's data engineer takes you seriously and enough judgment to know when to stop and bring ours in. Bonus points if you've built apps on Streamlit in Snowflake (SiS) or Databricks Apps, or if you've used modern BI tools like Tableau, Hex, Superset, etc. • Credible on modern data platforms. • Real integration experience. You have delivered data into someone else's environment by warehouse share, API, or file, and survived the security review and the data use agreement that came with it. You can talk credibly about REST API design, authentication, pagination, rate limits, and webhooks with a customer's engineering team. • CRM fluency. You can speak to managed packages, object models, field mapping, and sync direction, and advise a customer on what to bring into Salesforce, HubSpot, or Dynamics, and what to leave in the warehouse. • CRM fluency. • Healthcare claims or real world data fluency. Earned on the buy side, in a health system, or at a vendor, all count equally. Working command of CPT, HCPCS, ICD-10, PLA, DRG, place of service, NPI and taxonomy, and site of care logic. • Healthcare claims or real world data fluency. • Command of the room, and clear writing. You can hold your own with a data engineer and a VP of Sales back to back, and you know when the room needs the methodology and when it needs the punchline. A large part of this job is writing. • Command of the room, and clear writing. • Daily working use of AI tools. Claude, ChatGPT, Copilot, Cursor, or similar, so you can speak credibly to a customer about agentic workflows because you build with them. • Daily working use of AI tools. • Builder instinct. You are energized rather than unsettled by an unwritten job, and you have built something reusable that outlived your involvement. • Builder instinct. • Strongly preferred: MedTech, diagnostics, or digital health commercial experience rather than broad healthcare IT; time at a claims or provider intelligence vendor such as AcuityMD, Definitive Healthcare, Komodo, IQVIA, Veeva, Salesforce Life Sciences, Kythera Labs, Symphony Health, and / or H1; familiarity with MCP, agent tooling, or LLM powered workflows on a data product; BI depth and comfort with basic Python; exposure to enterprise healthcare security and governance review. • Strongly preferred: • You are a builder who can move comfortably between a data engineer, a VP of Sales, and an executive buyer. You can turn an ambiguous customer question into clear requirements, a credible solution, and a compelling story. You are technically rigorous, commercially curious, and energized by the opportunity to help define a new solutions function. • Are we a fit for each other? • At our stage, we believe how you operate is more important than what you’ll do day-to-day. As an early team member, we’re looking for individuals with strong alignment with the following core values. • Effort on our inputs: We prepare diligently, leave it all on the "field", and move on quickly. Focusing on good habits and work ethic, not individual outcomes, ultimately creates a winning culture and a successful company. • Effort on our inputs: • Earn Trust: We keep our commitments to our customers, partners, and each other. We listen attentively, speak candidly, and treat others respectfully. We strive to demonstrate empathy, inclusion, and intellectual honesty. • Earn Trust: • We are a Learning Organization: The only sure path to continuous improvement is a hypothesis-driven approach that prioritizes focus, decisive experimentation, rapid learning, and iteration. We expect low ego and a high degree of collaboration to enable us to find the right answer as quickly as possible. • We are a Learning Organization: • “Top Right” is the Expectation: We hire and reward driven, innately curious individuals who work hard to gain a deep understanding of our market, their craft, and the outcomes we strive to deliver for our partners. • “Top Right” is the Expectation: • What can you expect from us? • Fully covered healthcare and a great vision, dental, and 401k package. • Generous budget for learning and development + any tools you feel would make you more effective. • Stipends for new office setup and continued support. • Stipends for health and wellness. • Remote first culture and on-sites with the rest of the MedScout Team. • You will feel heard. You will hear, "Yes, let's do that!" and then have the opportunity to execute your ideas successfully. • We stay in nice hotels and eat well when we travel for work. No one feels like a badass walking into a Quality Inn. • MedScout embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be. • We will ensure that individuals with disabilities are provided reasonable accommodation who need it. We want you to be able to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any accommodation please let us know!
Responsibilities
• Lead technical discovery and solution design. You diagnose before you defend. Working across analytics, data engineering, IT, security, commercial ops, and executive stakeholders, surface the commercial questions the customer is trying to answer (where procedures are happening, which providers matter, where referrals leak) and map the environment those answers land in: CRM, warehouse, identity spine, incumbent vendors. You leave discovery able to name the gap between their data today and what their strategy needs, and to turn that into clear requirements, delivery method, and architecture. • Lead technical discovery and solution design. • Turn our data into commercial insight. The data team owns how the data is built. You own what it means to a buyer. Coverage, latency, identity resolution, attribution, and code set logic come up live in technical evaluation, including longitudinal patient journey questions where you scope precisely what the data can and cannot answer. Ensure confidence in the data, confidence in ability, and confidence in the partnership. • Turn our data into commercial insight. • Scope data delivery into customer environments. Snowflake Secure Data Sharing, Databricks Delta Sharing, cloud object storage, API delivery, CRM, and downstream analytics workflows. You own the scoping conversation and the repeatable motion around it: what the customer needs, what we have committed to, and what Engineering has to build. • Scope data delivery into customer environments. • Run the RFP and security review. You own the outcome on the technical, methodology, and governance sections of every RFP, RFI, and questionnaire, including SOC 2, HIPAA, BAAs, and data use agreements. You are the orchestrator and the editor. You pull the right answer out of data, engineering, product, and legal, keep an answer library so we stop rewriting the same response, and own quality and turnaround. • Run the RFP and security review. • Enable the demo environment. Fresh data templates, working accounts, a defined reset cadence, persona-specific paths for the sales leader, analytics buyer, data evaluator, and executive sponsor(s), and packaged plays for our core use cases: territory optimization, competitive displacement, referral leakage, site of care shift, patient journey, and launch targeting. • Enable the demo environment. • Own the technical narrative for AI. Our in-product agent, our public MCP server, and what customers build when their commercial intelligence reaches their own AI tools. Answer the provenance, grounding, access control, and governance questions, so AI stops being a deal blocker. Track how the AI tool ecosystem is moving and translate it into what a specific customer should actually build with our data. • Own the technical narrative for AI. • Own SE pipeline reporting. You are the source of truth on how technical evaluation affects deal outcomes: stage conversion by product, time engaged per opportunity, and win and loss intelligence on the deals you touched. Credibly forecast the opportunities, and fix the patterns you see repeating. • Own SE pipeline reporting. • Institutionalize what you learn. Convert tribal knowledge into discovery guides, training materials, answer libraries, architecture patterns, and enablement, and run the feedback loop from the field back to Product. • Institutionalize what you learn.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT