Principal Solutions Engineer, Data & AI

🕒 Agosto 18

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

📊 Engenheiro de Analytics

👻 Score fantasma 23%

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MedScout

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🏥 Saúde

💼 Consultoria

📣 Marketing

Healthcare • Consulting • Marketing

A MedScout é uma empresa que utiliza os mais recentes dados de reivindicações de saúde para fornecer insights acionáveis para equipes comerciais de MedTech. Sua plataforma é projetada para simplificar a análise de mercado, o desenvolvimento de estratégias e a execução de vendas, tornando-se de fácil uso para representantes de vendas, gerentes de vendas e equipes de marketing. O conjunto de dados proprietário da MedScout inclui extensas reivindicações do Medicare e de pagadores comerciais, permitindo que os usuários identifiquem e direcionem os médicos e sites de saúde mais adequados, otimizem territórios e compreendam comportamentos de encaminhamento. Com ênfase na integração de dados e usabilidade, a MedScout busca aumentar a eficácia das equipes e impulsionar a receita de vendas.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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