Staff Sales Engineer, AI Data Solutions

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 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.

Essential job duties

• 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

• 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

• 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).