Senior Product Manager, AI Platform
Komodo Health
Staff Applied AI Engineer
Komodo Health
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, Illinois, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $259,000 - $298,000 per year
Job Level
Lead
Tech Stack
DjangoFlaskPythonReactVue.js
About the role
- Define and evolve Komodo’s strategic AI capabilities aligned with business and healthcare product needs
- Design end-to-end AI solutions from prototyping through production emphasizing scalability, reliability, and ethical safeguards
- Partner across engineering, product, and operations to identify opportunities for AI-native approaches
- Drive experimentation with emerging AI toolchains (e.g., Gemini, GPT, Claude, open-source agents) and guide adoption
- Shape reference architectures and reusable frameworks to accelerate product teams and ensure quality across Komodo’s AI ecosystem
- Lead cross-functional knowledge sharing via playbooks, workshops, and technical mentorship
- Ensure robust observability, governance, and explainability mechanisms for AI features deployed at scale
- Deliver reusable AI frameworks adopted across teams and drive build-vs-buy evaluations for core AI platforms
- Influence Komodo’s data strategy to embed model performance, governance, and explainability into workflows
Requirements
- Proven track record of delivering AI systems from research prototypes to scalable production-ready products
- Strong technical leadership in generative AI, LLMs, orchestration frameworks, and multi-agent systems
- Experience with responsible AI practices, governance, explainability, and bias mitigation
- 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 or Vue; back-end systems like FastAPI, Django, or Flask)
- Experience setting company-wide standards in AI development, governance, and MLOps (CI/CD for AI, versioning, monitoring)
- Excellent collaboration and communication skills to influence technical and non-technical stakeholders
- Degree in Computer Science, Machine Learning, or equivalent professional experience with demonstrable impact
- Expectation to automate workflows, evaluate and scale models, mentor on prompt engineering and orchestration
Benefits
- performance-based bonuses as determined in the Company’s sole discretion
- equity awards (may be eligible)
- 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 company policy
- paid time off for vacation, sickness, holiday, and bereavement
- 100% company-paid life insurance and long-term disability insurance
- competitive total rewards package including medical, dental and vision coverage
- prepaid legal assistance
- hybrid work model with flexibility (remote options and hubs in San Francisco, New York City, Chicago)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsgenerative AILLMsorchestration frameworksmulti-agent systemsPythonfull-stack engineeringMLOpsCI/CD for AIprompt engineering
Soft skills
technical leadershipcollaborationcommunicationinfluencementorship
