Senior AI Sales Engineer, AI Data Solutions

About the role

You will serve as a technical expert bridging the gap between Komodo Health's data assets and the commercial objectives of our Life Sciences partners. This role focuses on demonstrating how our AI-powered analytics can accelerate complex workflows and deliver measurable business outcomes. We are looking for a builder who creates their own tools and actively experiments with AI to solve problems.

Key facts

What you'll do

• Partner with sales teams to identify client technical requirements and pain points during the discovery process.
• Design and deliver live, AI-driven demonstrations that show how our platform transforms weeks of work into minutes of analysis.
• Explain complex concepts like model trust, data provenance, and reproducibility to technical and non-technical stakeholders.
• Build a personal repository of reusable demo assets and proof-of-value frameworks to improve team efficiency.
• Navigate internal reviews involving Legal, Compliance, Security, and Product teams.
• Provide expert guidance on healthcare claims, clinical ontologies, and patient-journey insights.
• Support enterprise procurement, security reviews, and AI council evaluations to close multi-product deals.
• Mentor junior team members and provide feedback to the product roadmap based on competitive and customer signals.

Requirements

• 7+ years of experience in Sales Engineering, Solutions Engineering, or Technical Account Management within the life sciences or pharmaceutical sector.
• Deep familiarity with BioPharma functional areas such as Commercial, HEOR, RWE, and Medical Affairs.
• Hands-on experience building or experimenting with AI agents and applications using tools like Claude Code, Cursor, LangFlow, or data-science notebooks.
• Strong technical foundation in healthcare claims data, including 837/835 data, NDC codes, and clinical ontologies.
• Proficiency in SQL, Python, APIs, and cloud architectures like AWS or Azure.
• Ability to articulate AI concepts such as LLMs, generative AI, and retrieval-grounded analytics.
• Understanding of regulatory environments including HIPAA and GDPR.

Nice to have

• Experience supporting customer AI councils or enterprise AI evaluations.
• Familiarity with responsible-AI governance frameworks.
• Technical certifications for AWS, Azure, or major data platforms.
• Experience with Salesforce for pipeline and interaction management.
• Proficiency with data visualization tools like Tableau or Looker.

Skills & tools

• AI/ML: LLMs, Generative/Agentic AI, Retrieval-grounded analytics.
• Data: SQL, Python, Healthcare claims (837/835), NDC codes, Clinical ontologies.
• Infrastructure: AWS, Azure, APIs, Cloud architectures.
• Sales: Salesforce, Tableau, Looker.

Practical notes

• Salary for San Francisco Bay Area and New York City: $164,000 to $222,000 USD.
• Salary for all other US locations: $143,000 to $193,000 USD.
• Compensation includes eligibility for commissions and equity awards.
• Benefits include health, dental, and vision insurance, 401(k) with company match, disability/life insurance, and flexible time off.
• This role is remote-friendly.