Senior Product Support Engineer, AI

Komodo Health

67d • $108,000 - $135,000

About The Position

At Komodo Health, our mission is to reduce the global burden of disease. 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.

Requirements

• Expert-level proficiency in SQL for querying and analyzing complex, large-scale relational databases.
• Deep familiarity with the US healthcare data ecosystem (e.g., medical/pharmacy claims, EHR).
• Proficiency in a scripting language, preferably Python, for data analysis and automation.
• A proven track record of troubleshooting complex, data-intensive products.
• A strong aptitude for and interest in learning the fundamentals of Large Language Models (LLMs) and generative AI.
• Demonstrated ability to lead technical projects and influence cross-functional teams.
• A strong sense of ownership and experience scaling support processes in a fast-paced environment.

Nice To Haves

• Direct experience supporting products built on foundational AI models.
• Experience with AI ethics and data privacy considerations in a regulated industry.

Responsibilities

• Lead deep-dive data investigations to validate or disprove AI-generated outputs using expert-level SQL and Python.
• Own, operate, and continuously improve the enterprise-wide incident management program.
• Triage and analyze complex product behaviors to differentiate between data discrepancies, prompt-related issues, and potential bugs.
• Serve as the primary technical support liaison to the AI/ML Engineering and Product teams.
• Architect and build out our knowledge base with content focused on data validation techniques and troubleshooting methodologies.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees