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The Opportunity at Komodo Health
The Sales Engineering team partners with Sales to deliver expert technical support for Komodo’s real-world data, AI-powered analytics, software, and services for our Life Sciences customers. The team ensures clients understand how Komodo’s solutions — from the Healthcare Map to our analytical AI co-pilot— solve their most pressing challenges and help them reduce the burden of disease. Sales Engineers act as trusted advisors, bridging technical and AI expertise with business strategy to close deals and drive revenue growth.
The Senior Sales Engineer role provides technical, data, and AI-solution expertise and strategic support during the discovery, qualification, value alignment, and solution design stages of the sales cycle. This role is critical to helping pharmaceutical and life sciences clients understand the value of Komodo’s healthcare data and AI-powered analytics platform in improving commercial strategies and patient outcomes. You will guide clients through complex data integration strategies, demonstrate Komodo’s differentiated real-world data assets and AI capabilities, and ensure solutions are designed to align with client goals and accelerate measurable business value.
Looking back on your first 12 months at Komodo Health, you will have accomplished…
- Successfully supported new and expansion opportunities with tailored technical and AI-enabled solutions, contributing directly to new and expansion revenue.
- Become a go-to expert for Komodo’s AI-powered platform — running live, plain-language analyses that compress weeks of work into minutes and shorten the path from discovery to close.
- Developed deep expertise in Komodo’s healthcare data assets Komodo’s analytics suites.
- Confidently articulated Komodo’s trustworthy-AI approach — grounded, explainable, reproducible, verified, and governed — to technical buyers, customer AI councils, and compliance/procurement stakeholders, removing AI-related blockers that stall deals.
- Built a library of repeatable, AI-centric demo assets and proof-of-value frameworks that improved win rates and sales-cycle efficiency.
- Strengthened the Sales Engineering and Sales partnership through better discovery, qualification, and solution design, and surfaced cross-sell / upsell paths across the Komodo portfolio.
- Established strong client relationships by delivering insights that tie Komodo’s data and AI capabilities directly to clients’ commercial outcomes and ROI.
These are the essential job duties you will be responsible for…
Partner with Sales during discovery to identify 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, including clinical ontologies, identity resolution, and 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.
- Conduct technical and AI-powered demonstrations — including live, plain-language analyses and no-code exploration — that show how clients can better target, engage, and convert healthcare providers and patients.
- Position how Komodo’s differentiated AI aligns with foundational, general-purpose 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, ensuring alignment with Legal, Compliance, Security / AI Governance, and Product teams.
- Collaborate with cross-functional teams so customer and competitive feedback influences the product and AI roadmap.
- Provide technical and AI mentorship to junior SEs, sharing best practices and reusable assets for supporting life sciences clients.
What you bring to Komodo Health (required)
- Deep familiarity with large BioPharma functional areas (e.g., Commercial, HEOR/RWE, Medical Affairs) and their core processes and workflows, with a demonstrated track record of driving material improvements within them.
- 7+ years of experience in Sales Engineering, Solutions Engineering, or Technical Account Management, with a strong emphasis on selling software, real-world data, and analytics to life sciences / pharmaceutical companies.
- Proven success partnering with Sales to support discovery, qualification, and solution design that drives revenue.
- Deep understanding of healthcare claims and real-world data (e.g., 837/835 data, NDC codes, clinical ontologies) and life sciences commercial strategies.
- Working fluency with AI/ML concepts relevant to enterprise analytics — LLMs, generative and agentic AI, and retrieval-grounded analytics — and the ability to explain AI trust, reproducibility, and governance to technical and non-technical buyers.
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