Senior AI Sales Engineer, AI Data Solutions

Komodo Health is on a mission to reduce the global burden of disease through smarter use of data. They are seeking a Senior AI Sales Engineer to provide technical, data, and AI-solution expertise to help life sciences clients transform their workflows and connect those transformations to 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
• 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

Requirements:

• 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
• 7+ years in Sales Engineering, Solutions Engineering, or Technical Account Management, selling software, real-world data, and analytics to life sciences / pharmaceutical companies
• 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
• 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
• 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
• Demonstrated success demoing and positioning AI-powered analytics products and connecting their capabilities to measurable customer ROI
• You translate complex technical and AI concepts into clear, business-relevant insight, and connect equally well with executive and technical stakeholders
• Experience navigating HIPAA, GDPR, and the compliance and AI-governance implications for life sciences clients
• 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)