Senior Product Manager, AI Platform
Komodo HealthAbout the role
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.
At Komodo Health, we believe that artificial intelligence is at the heart of how we will continue to address our mission. The Komodo Platform powers both internal and partner development on our Healthcare Map foundation. We’re looking for a visionary Senior Product Manager, AI Platform to lead the development of platform AI capabilities, empowering every Komodo team, as well as our external partners, to seamlessly integrate AI into their products and accelerate the creation of AI-native applications. You'll work at the intersection of product, engineering, and data science, building the tools and services that democratize AI creation.
Looking back on your first 12 months at Komodo, you will have…
- Defined and executed the product strategy for Komodo's internal AI platform, ensuring it meets the diverse needs of all consuming teams and aligns with company-wide initiatives.
- Created a 6-12 month roadmap with outcome-oriented milestones and metrics, and reported on those metrics on a regular cadence
- Driven the development of tools and frameworks that simplify AI integration, allowing both internal and external teams to easily leverage machine learning models, natural language processing, and other AI capabilities.
- Accelerated the development of AI-native applications by providing intuitive SDKs, APIs, and MLOps tools that streamline the entire AI lifecycle for all users.
- Championed the creation of an "agent factory," enabling anyone within Komodo or our partner ecosystem to design, build, and deploy AI agents for various tasks and workflows.
- Established and maintained controls and governance for AI development, ensuring responsible, ethical, and compliant AI practices.
- Established an operating rhythm around internal and customer feedback, translating needs into clear product specifications
- Engaged throughout the AI stack, from foundational infrastructure and data pipelines to model deployment and application-level integration, ensuring a cohesive and performant end-to-end experience.
- Evangelized the platform's capabilities and provided guidance and support to internal and external teams.
- Served as an SME on the product team for trends AI technology and customer usage, sharing knowledge across our organizatio
- Previous experience in SaaS product management, with a strong focus on AI/ML infrastructure/platforms/developer tools.
- Deep understanding of the AI/ML landscape and trends, including various model types, training methodologies, deployment strategies, and MLOps principles.
- Proven experience building products that empower developers to be more efficient and productive
- Familiarity with ethical AI considerations in regulated industries, such as healthcare.
- Excellent product fundamentals:
- Business and technical communication
- Cross-Functional Collaboration
- Prioritization and Roadmapping
- Customer-Centricity and Feedback Gathering
- Data-Driven Decision Making
- Comfort navigating ambiguity to find clarity and direction
- Prior experience in agile environments, with the ability to translate strategy into clear execution plans
- Passion for solving problems in healthcare/life sciences
- You are expected to be a power user and an advocate for leveraging AI in your daily work, constantly exploring and applying AI tools to enhance your productivity and the quality of your output.
Nice to have:
- Experience buildin
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