Komodo Health aims to reduce the global burden of disease by leveraging data and AI. The Sales Engineer role is crucial in translating complex healthcare data into strategic insights for clients, accelerating growth, and ensuring the effectiveness of Komodo's solutions at an enterprise level.
Requirements
- 5+ years of progressive experience in Sales Engineering, Solutions Architecture, or a deeply technical client-facing role, with a significant focus on healthcare technology, data services, or advanced analytics.
- Demonstrated experience independently leading and owning the technical sales cycle for complex, enterprise-level opportunities, including technical discovery, qualification, and solution architecture with multi-million dollar contracts.
- Deep, authoritative expertise in healthcare claims data (e.g., 837/835 data, NDC codes, procedure codes, claims lifecycle, advanced analytics applications) and sophisticated life sciences commercial strategies.
- Exceptional technical proficiency, including advanced experience with APIs, complex data integration patterns, cloud-based architectures (e.g., AWS, Azure, GCP), and data warehousing technologies like Snowflake.
- Proven ability to articulate complex technical concepts, including AI and machine learning principles, to both highly technical and non-technical executive audiences.
- Expert-level knowledge of HIPAA, GDPR, and other relevant healthcare data regulations, with practical experience in ensuring data privacy, governance, and compliance within technical solutions.
- Extensive experience with identity resolution, privacy-preserving linking technologies, and advanced data de-identification methods.
Responsibilities
- Served as a technical lead on multiple strategic opportunities, directly influencing the deal cycles and accelerating revenue growth.
- Become the definitive subject matter expert on Komodo's comprehensive suite of healthcare data assets and platform capabilities.
- Developed scalable technical frameworks, demo environments, and reusable assets that have set new organizational standards.
- Driven cross-functional initiatives by partnering with Product, Data Science, and Engineering to deliver customized, innovative solutions.
- Act as the definitive subject matter expert, guiding both internal teams and high-profile clients in architecting cutting-edge solutions that leverage advanced data, machine learning, and AI.
- Own the technical and data-focused aspects of the sales cycle, from discovery to solution design and stakeholder management.
- Architecting the future of healthcare and are instrumental in our mission to reduce the global burden of disease.
Other
- The Sales Engineer is a highly customer-facing and technically adept partner who translates complex healthcare data into strategic insights for our clients.
- Your primary purpose is to help clients understand the value of our platform and how it can be integrated into their existing workflows to unlock new insights and accelerate growth.
- Mentored peers and junior team members, elevating the technical skills and strategic mindset of the broader Sales Engineering organization.
- Strong sales acumen and situational awareness, with the ability to navigate complex organizational structures and build consensus among diverse stakeholders.
- A collaborative and consultative mindset, with the proven ability to partner effectively with sales, product, data science, and engineering teams to drive deal progression.
