Senior Sales Engineer, AI Data Solutions

Komodo Health

. Partner with Sales during discovery to identify technical, data, and AI requirements, pain points, and desired commercial outcomes for life sciences clients .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $143,000 - $222,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI applications and healthcare data analytics, with a strong ability to connect technical solutions to commercial outcomes in the life sciences sector. Proven track record in navigating compliance frameworks and driving revenue growth through strategic client engagement.

Highest-signal resume keywords

Sales Engineering ExperienceAI Applications DevelopmentHealthcare Claims ExpertiseSQL and Python ProficiencyTechnical Certifications in AWS or Azure

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI-Powered AnalyticsData IntegrationHealthcare Claims AnalysisClinical OntologiesGenerative AILarge Language ModelsData Science NotebooksReproducibility and GovernanceTechnical Proposal DevelopmentBusiness Value Quantification

Soft Skills

Client Relationship BuildingMentoringCommunicationProblem-SolvingCollaboration

Tools & Technologies

AWSAzureSalesforceTableauLooker

Certifications & Qualifications

AWS CertificationAzure Certification

Industry Keywords

Life SciencesBioPharmaHEOR/RWEMedical AffairsHIPAAGDPRAI GovernanceReal-World DataData ProvenancePatient Journey Insights

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

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 combining Komodo's Healthcare Map, AI engine, and software products, and quantify business value
Run technical and AI-powered demonstrations, including live plain-language analyses and no-code exploration
Position Komodo's AI against general-purpose foundation models and other real-world-data vendors, addressing trust, data provenance, reproducibility, and governance
Support customer AI councils, security reviews, and enterprise procurement for larger multi-product deals
Identify and shape expansion opportunities across Komodo's products to grow account revenue
Navigate internal review processes for technical proposals with Legal, Compliance, Security/AI Governance, and Product
Feed customer and competitive insights into the product and AI roadmap
Mentor junior Sales Engineers and share reusable AI-centric best practices and assets
Build reusable AI-centric demo assets and proof-of-value frameworks
Develop expertise in Komodo's Healthcare Map, real-world data assets, analytics, and AI products
Build trusted client relationships by connecting data and AI capabilities to commercial outcomes and ROI

Requirements

What you’ll need

Deep familiarity with large BioPharma functional areas, including Commercial, HEOR/RWE, and Medical Affairs, their workflows, data, budgets, and a track record of driving material improvements
7+ years in Sales Engineering, Solutions Engineering, or Technical Account Management, selling software, real-world data, and analytics to life sciences or pharmaceutical companies
Hands-on experience building or experimenting with AI agents and applications, such as Claude Code, Cursor, LangFlow, or data-science notebooks
Working fluency with LLMs, generative and agentic AI, and retrieval-grounded analytics
Ability to explain AI trust, reproducibility, and governance to technical and non-technical buyers
Deep understanding of healthcare claims and real-world data, including 837/835 data, NDC codes, and clinical ontologies
Working knowledge of SQL and Python; APIs, data integration, and cloud architectures including AWS and Azure
Demonstrated success demoing and positioning AI-powered analytics products and connecting capabilities to measurable customer ROI
Ability to translate complex technical and AI concepts into clear, business-relevant insight
Experience navigating HIPAA, GDPR, and compliance and AI-governance implications for life sciences clients
Familiarity with responsible-AI and AI-governance frameworks
Prior experience supporting customer AI councils or enterprise AI evaluations
Technical certifications in AWS, Azure, or data platforms
Experience with CRM platforms such as Salesforce
Familiarity with data visualization tools such as Tableau or Looker

Benefits

Comp & perks

Commissions in accordance with a written agreement or plan
May be eligible for equity awards
Comprehensive health, dental, and vision insurance
Flexible time off and holidays
401(k) with company match
Disability insurance and life insurance
Leaves of absence in accordance with applicable state and local laws and regulations and company policy
Hybrid work model with flexibility