Senior Sales Engineer, Partnerships

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health:

The Sales Engineering team collaborates closely with Sales to deliver value-driven solutions across Emerging, Large, Direct Partnerships, and Channel Partner markets. This role is focused on supporting our Direct Partnerships and Channel Partner initiatives. The Komodo Partnerships segment serves a diverse range of clients, including payers, providers, financial services firms, consultancies, digital health, and health tech companies

The Sales Engineer, Partnerships role exists to provide technical expertise and strategic enablement to partners, facilitating strategies to pursue avenues of revenue outside of the life sciences. This role bridges technical knowledge and business strategy, supporting partners during discovery, qualification, and solution design to showcase the value of Komodo’s healthcare data and analytics platform. The Sales Engineer will collaborate closely with Sales and Product teams to align solutions with client and partner goals.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Served as a technical lead on 8-10 multiple strategic opportunities, directly influencing the deal cycles and accelerating revenue growth. Your expert solution design and deep technical guidance will have been critical in securing high-value enterprise accounts.

• Become the definitive subject matter expert on Komodo's comprehensive suite of healthcare data assets and platform capabilities. You will have actively contributed to product feedback and shaped our long-term roadmap by bringing a deep understanding of client needs and market trends.

• Garner subject matter expertise and ownership of a segment within the Partnerships / Channel Partnerships organization.

• Developed scalable technical frameworks, demo environments, and reusable assets that have set new organizational standards with a heavy emphasis on agentic AI workflows. Your work will have significantly boosted the efficiency and impact of the entire Sales Engineering team, enabling them to deliver more compelling and consistent client experiences.

• Driven cross-functional initiatives by partnering with Product, Data Science, and Engineering to deliver customized, innovative solutions. You will have successfully aligned Komodo's most advanced capabilities with the unique and complex needs of our top-tier pharmaceutical clients.

• Mentored peers and junior team members, elevating the technical skills and strategic mindset of the broader Sales Engineering organization. Your guidance will have fostered a culture of continuous learning and technical excellence, directly contributing to the team's overall success.

What you bring to Komodo Health (required):

• 7+ years of experience in Sales Engineering or Solutions Engineering with a focus on healthcare data and healthcare technology.

• Proven track record of understanding and leveraging AI tools to enhance SaaS products or improve operational workflows

• Expertise in healthcare data (e.g., 837/835 transactions, NDC codes) and its practical applications in analytics, reporting, and decision-making

• Strong technical skills, including experience with APIs, data integration, cloud-based architectures (e.g., AWS, Azure), and analyzing large datasets.

• An understanding and proficiency of data science techniques, specifically SQL, Python, and/or R”

• Excellent communication and presentation skills, with the ability to train partners and translate complex technical concepts for diverse stakeholders.

• Experience navigating regulated environments (e.g., HIPAA, GDPR) and ensuring compliance in pharmaceutical client engagements.

• Ability to build and maintain strategic relationships with partner executives and sales teams to co-develop go-to-market strategies.

Additional skills and experience we’d prioritize (nice to have)…

• Experience working within the provider, payer, or financial service segments.

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

• Experience with CRM platforms like Salesforce for managing partner and client interactions.

• Familiarity with data visualization tools (e.g., Tableau, Looker) to create impactful partner training materials.

• Knowledge of identity resolution and privacy-preserving linking technologies.

• Prior experience developing joint business plans and co-sell strategies with channel partners.

#LI-Remote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position is also eligible for commissions in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:
$164,000—$222,000 USD

All Other US Locations:
$143,000—$193,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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