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Komodo Health

Senior Sales Engineer, AI Data Solutions

RemoteUnited States only
Published
Role
Sales
Experience
Senior
$164k–$222k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Sales/Solutions Engineer with 7+ years selling software, real-world data, and analytics to life sciences/pharma clients. Needs hands-on AI/ML fluency, SQL and Python, healthcare claims/RWD domain depth, and ability to demo AI-powered analytics. US-based role.

Core skills

SQLPythonAI-powered analytics

Required skills

APIsAWSAzureLLMsGenerative AIAgentic AIRetrieval-grounded analyticsHIPAAGDPR

Optional skills

Privacy-preserving linkingResponsible AIAI governance frameworksAWSAzureSalesforceTableauLooker

What you'll do

  • Become a go-to expert for Komodo's AI-powered platform — routinely running live, plain-language analyses that compress weeks of work into minutes and shorten the path from discovery to close.
  • Develop deep fluency in Komodo's Healthcare Map and real-world data assets, and in how our analytics and AI products solve specific customer pain points.
  • Build a personal library of reusable, AI-centric demo assets and proof-of-value frameworks — and share them so the whole team moves faster.
  • Confidently articulate Komodo's trustworthy-AI approach — grounded, explainable, reproducible, verified, governed — to technical buyers, customer AI councils, and compliance/procurement stakeholders, clearing the AI-related blockers that stall deals.
  • Strengthen the Sales Engineering and Sales partnership through better discovery, qualification, and solution design — and surface cross-sell and expansion paths across the Komodo portfolio.
  • Build trusted client relationships by tying Komodo's data and AI capabilities to clients' commercial outcomes and ROI.
  • Partner with Sales during discovery to identify the technical, data, and AI requirements, pain points, and desired commercial outcomes for life sciences clients.
  • Provide expert guidance on healthcare claims and real-world data — clinical ontologies, identity resolution, patient-journey insights.
  • Design and present tailored solutions that combine Komodo's Healthcare Map, AI engine, and software products to meet client objectives — and quantify the business value.
  • Run technical and AI-powered demonstrations — live, plain-language analyses and no-code exploration — and handle the off-script, ad-hoc question with a real answer in the room rather than "we'll get back to you."
  • Position how Komodo's differentiated AI compares to general-purpose foundation models and other real-world-data vendors, addressing model trust, data provenance, reproducibility, and governance.
  • Support customer AI councils, security reviews, and enterprise procurement to unlock and accelerate larger, multi-product deals.
  • Identify and shape expansion opportunities across Komodo's products to grow account revenue.
  • Navigate the internal review process for technical proposals — aligning Legal, Compliance, Security / AI Governance, and Product.
  • Feed customer and competitive signal back into the product and AI roadmap.
  • Mentor junior SEs and share reusable, AI-centric best practices and assets.
  • Integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights.

What they require

  • Domain depth. Deep familiarity with large BioPharma functional areas (e.g., Commercial, HEOR/RWE, Medical Affairs), their workflows, and how each thinks about data and budget — with a track record of driving material improvements within them.
  • Experience. 7+ years in Sales Engineering, Solutions Engineering, or Technical Account Management, selling software, real-world data, and analytics to life sciences / pharmaceutical companies.
  • A builder mentality. You create your own assets and tools and have hands-on experience building or experimenting with AI agents and applications (e.g., Claude Code, Cursor, LangFlow, data-science notebooks). Production deployments are not required — demonstrated tinkering, resourcefulness, and a bias toward building are.
  • AI fluency. Working fluency with the AI/ML concepts relevant to enterprise analytics — LLMs, generative and agentic AI, retrieval-grounded analytics — and the ability to explain AI trust, reproducibility, and governance to both technical and non-technical buyers.
  • A strong data foundation. Deep understanding of healthcare claims and real-world data (e.g., 837/835 data, NDC codes, clinical ontologies); working SQL and Python; APIs, data integration, and cloud architectures (AWS, Azure).
  • The ability to demo and quantify. Demonstrated success demoing and positioning AI-powered analytics products and connecting their capabilities to measurable customer ROI.
  • Range as a communicator. You translate complex technical and AI concepts into clear, business-relevant insight, and connect equally well with executive and technical stakeholders.
  • Regulated-environment savvy. Experience navigating HIPAA, GDPR, and the compliance and AI-governance implications for life sciences clients.
  • Preferred: Familiarity with responsible-AI / AI-governance frameworks and how they apply to healthcare and pharma procurement and AI council reviews.
  • Preferred: Prior experience supporting customer AI councils or enterprise AI evaluations.
  • Preferred: Technical certifications in AWS, Azure, or data platforms.
  • Preferred: Experience with CRM platforms like Salesforce to manage client interactions and pipeline.
  • Preferred: Familiarity with data visualization tools (e.g., Tableau, Looker).

Benefits

  • This position is also eligible for commissions in accordance with a written agreement or plan.
  • This role may also be eligible for equity awards.
  • Comprehensive health, dental, and vision insurance
  • Flexible time off and holidays
  • 401(k) with company match
  • Disability insurance and life insurance
  • Leaves of absence in accordance with applicable state and local laws and regulations and company policy
  • Hybrid work model with hubs in San Francisco, New York City, and Chicago
  • For hub-based Dragons, intentional in-office rhythms alongside flexibility

Komodo Health built the Healthcare Map, combining de-identified real-world patient data with algorithms and clinical experience to provide a view of the U.S. healthcare system and software applications for healthcare insights.

Healthcare
$164k–$222k/yr