Staff Sales Engineer, AI Data Solutions

About the role

At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data. 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. As a trusted advisor, you’ll bridge data and AI expertise with commercial strategy to help clients solve their most pressing challenges and reduce the burden of disease.

The Staff AI Sales Engineer provides technical, data, and AI-solution expertise across the discovery, qualification, value-alignment, and solution-design stages of the sales cycle. You’ll 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.

You are the kind of person who builds their own tools, turns one-off analyses into reusable assets, automates workflows, and has hands-on experience with AI—building or experimenting with agents, apps, and analytics co-pilots.

Responsibilities

• 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 off-script, ad-hoc questions with real answers in the room.
• 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.

What You’ll Accomplish in Your First 12 Months

• 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 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.

Requirements

• 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.
• 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.
• 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.
• 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

• Familiarity with responsible-AI/AI-governance frameworks and how they apply to healthcare and pharma procurement and AI council reviews.
• 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).

Pay

The pay range for this role reflects a minimum and maximum range of annual base pay within the US. The starting annual base pay is:

• San Francisco Bay Area and New York City: $164,000—$222,000 USD
• All other US locations: $143,000—$193,000 USD

This position is also eligible for commissions, equity awards, and benefits including comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability and life insurance; and leaves of absence in accordance with applicable laws and company policy.

Schedule

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary—some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. Expectations will always be clear before you join.

AI at Komodo

At Komodo, we're leading the AI revolution in healthcare. AI is foundational here—integrated into daily work from automating workflows to uncovering insights. We expect every team member to contribute to shaping the future of healthcare intelligence.