Komodo Health-posted 3 months ago
$225,000 - $298,000/Yr
Full-time • Senior
Hybrid • San Francisco, CA
501-1,000 employees
Publishing Industries

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.

  • Defining and evolving Komodo's strategic AI capabilities in alignment with business goals and healthcare product needs.
  • Designing end-to-end AI solutions, from prototyping through production, with an emphasis on scalability, reliability, and ethical safeguards.
  • Partnering across engineering, product, and operations to identify opportunities where AI-native approaches create outsized leverage.
  • Driving experimentation with emerging AI toolchains (e.g., Gemini, GPT, Claude, open-source agents), evaluating impact, and guiding adoption.
  • Shaping reference architectures and reusable frameworks that accelerate product teams and ensure quality across Komodo's AI ecosystem.
  • Leading cross-functional knowledge sharing through playbooks, workshops, and technical mentorship, raising the bar across teams.
  • Ensuring robust observability, governance, and explainability mechanisms for AI features deployed at scale.
  • A proven track record of delivering AI systems that transition from research prototypes into scalable, production-ready products.
  • Strong technical leadership in generative AI, LLMs, orchestration frameworks, multi-agent systems, and responsible AI practices.
  • Fluency in Python and experience with modern GenAI toolchains (e.g., vLLM, Crew AI, Strands, LangChain, Chat Completions API).
  • Full-stack engineering proficiency (front-end frameworks like React/Vue; back-end systems like FastAPI, Django, or Flask) with an ability to ship complete AI-powered features.
  • Experience setting company-wide standards in AI development, governance, and MLOps (CI/CD for AI, versioning, monitoring).
  • Excellent collaboration and communication skills to influence both technical and non-technical stakeholders.
  • Degree in Computer Science, Machine Learning, or equivalent professional experience with demonstrable impact.
  • Expertise in healthcare data modalities (claims, EHR, genomic data).
  • Experience leading large-scale distributed data and compute systems (e.g., Spark, Databricks, Snowflake).
  • Track record of influencing data strategy and architecture in complex domains.
  • 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.
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