Komodo Health

Komodo Health

Staff Sales Engineer, AI Data Solutions

United States · Staff+

Sponsorship not specified$164k-$222kDetected 6 days ago
PythonAlgorithmsSQLAWSAzureMachine LearningData VisualizationLLMsAgentic AIComplianceSalesforceCRMSalesAccount ManagementProcurementCustomer SupportHIPAALeadershipPlain Language

About the role

  • We act as trusted advisors - bridging data and AI expertise with commercial strategy to help clients solve their most pressing challenges and reduce the burden of disease.
  • help life sciences clients see a transformed workflow - analyses that used to take weeks, run live in minutes - and connect that directly to their commercial outcomes.

Responsibilities

  • Partner with Sales during discovery to identify the technical, data, and AI requirements, pain points, and desired commercial outcomes for life sciences clients.
  • Support customer AI councils, security reviews, and enterprise procurement to unlock and accelerate larger, multi-product deals.
  • You turn one-off analyses into reusable assets, automate your own workflow, and have spent real time hands-on with AI - building or experimenting with agents, apps, and analytics co-pilots.
  • You don't wait for enablement to hand you a script; you build the thing yourself.
  • As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver "wow," and enjoy the ride.
  • At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way.
  • We expect you to integrate AI into your daily work - from summarizing documents to automating workflows and uncovering insights.
  • This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Requirements

  • 10+ years in Sales Engineering, Solutions Engineering, or Technical Account Management, selling software, real-world data, and analytics to life sciences / pharmaceutical companies.
  • Production deployments are not required - demonstrated tinkering, resourcefulness, and a bias toward building are.
  • The ability to demo and quantify.
  • Experience navigating HIPAA, GDPR, and the compliance and AI-governance implications for life sciences clients.
  • 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. 10+ 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). Experience with privacy-preserving linking is a plus.
  • 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.

Nice to have

  • Prior experience supporting customer AI councils or enterprise AI evaluations.
  • Technical certifications in AWS, Azure, or data platforms.
  • Experience with CRM platforms like Salesforce to manage client interactions and pipeline.
  • Familiarity with data visualization tools (e.g., Tableau, Looker).
  • This position is also eligible for commissions in accordance with a written agreement or plan.
  • 401(k) with company match
  • and leaves of absence in accordance with applicable state and local laws and regulations and company policy.
  • San Francisco Bay Area and New York City:

Compensation

  • $164,000 - $222,000 USD
  • $143,000 - $193,000 USD

Benefits

  • At Komodo Health, our mission is to reduce the global burden of disease.
  • The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare's most complex questions for our partners.
  • We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute.
  • Join us in shaping the future of healthcare intelligence.
  • Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago.

Company info

  • The Sales Engineering team partners with Sales to deliver expert technical support for Komodo's real-world data, AI-powered analytics, and software for our Life Sciences customers.
  • At Komodo, we're not just witnessing the AI revolution - we're leading it.

Equal opportunity

  • Statement
  • Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
  • This notice explains how we collect, use, and retain applicant data.
  • Komodo Health provides equal employment opportunities to all applicants and employees.
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This listing is sourced directly from Komodo Health's careers page and normalized into a canonical job model.