Senior Sales Engineer, AI Data Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Sales during the discovery phase to identify technical, data, and AI requirements, as well as pain points and desired commercial outcomes for clients in the life sciences sector.

• Offer expert insights on healthcare claims and real-world data, encompassing clinical ontologies, identity resolution, and insights into patient journeys.

• Create and present customized solutions that integrate Komodo's Healthcare Map, AI engine, and software products, while quantifying their business value.

• Conduct technical demonstrations powered by AI, featuring live analyses in plain language and no-code exploration.

• Position Komodo's AI in comparison to general-purpose foundation models and other real-world data vendors, addressing concerns regarding trust, data provenance, reproducibility, and governance.

• Assist customer AI councils, security evaluations, and enterprise procurement processes for larger multi-product agreements.

• Identify and cultivate expansion opportunities across Komodo's product offerings to enhance account revenue.

• Navigate the internal review processes for technical proposals in collaboration with Legal, Compliance, Security/AI Governance, and Product teams.

• Provide insights from customers and competitors to inform the product and AI development roadmap.

• Mentor junior Sales Engineers and share reusable best practices and assets focused on AI.

• Create reusable AI-centric demonstration assets and frameworks for proof-of-value initiatives.

• Develop a deep understanding of Komodo's Healthcare Map, real-world data assets, analytics, and AI products.

• Establish trusted relationships with clients by linking data and AI capabilities to commercial outcomes and return on investment (ROI).

⛳️ Requirements

• Extensive knowledge of major BioPharma functional areas, including Commercial, HEOR/RWE, and Medical Affairs, along with their workflows, data management, budgets, and a proven history of driving significant improvements.

• Over 7 years of experience in Sales Engineering, Solutions Engineering, or Technical Account Management, specializing in software, real-world data, and analytics for life sciences or pharmaceutical firms.

• Practical experience in building or experimenting with AI agents and applications, such as Claude Code, Cursor, LangFlow, or data-science notebooks.

• Proficient understanding of LLMs, generative and agentic AI, and retrieval-grounded analytics.

• Capability to articulate AI trust, reproducibility, and governance to both technical and non-technical stakeholders.

• In-depth knowledge of healthcare claims and real-world data, including 837/835 data, NDC codes, and clinical ontologies.

• Familiarity with SQL and Python, as well as APIs, data integration, and cloud architectures such as AWS and Azure.

• Proven success in demonstrating and positioning AI-powered analytics products, linking capabilities to measurable customer ROI.

• Ability to convert complex technical and AI concepts into clear, business-focused insights.

• Experience with HIPAA, GDPR, and the compliance and AI governance implications for life sciences clients.

• Knowledge of responsible AI and AI governance frameworks.

• Previous experience supporting customer AI councils or enterprise AI evaluations.

• Technical certifications in AWS, Azure, or data platforms.

• Experience using CRM platforms such as Salesforce.

• Familiarity with data visualization tools like Tableau or Looker.

🏝️ Benefits

• Commissions based on a documented agreement or plan.

• Potential eligibility for equity awards.

• Comprehensive health, dental, and vision insurance coverage.

• Flexible time off and holiday policies.

• 401(k) plan with company matching contributions.

• Disability and life insurance options.

• Leaves of absence in accordance with applicable state and local laws and company policy.

• Hybrid work model offering flexibility.