Related skills
databricks mlops langchain llamaindex sagemakerπ Description
- Define and socialize multi-year MLOps platform roadmap across regions
- Architect multi-region model inference with data residency constraints
- Drive model observability and drift detection from concept to adoption
- Own vendor and tooling strategy across the MLOps stack
- Publish the Agent Framework Reference Architecture for regulated environments
- Lead product strategy for agentic workflow reliability and human-in-the-loop design
π― Requirements
- 8+ years in product management; 3+ years in ML infra or MLOps
- Partner with Data Science/Applied ML and Engineering teams
- Shipping ML platform or AI infra in regulated industries (preferred)
- Hands-on with MLOps tools: MLflow, Kubeflow, SageMaker, Vertex AI
- Knowledge of LLM orchestration frameworks: LangChain, LlamaIndex, AutoGen
- Experience with build vs. buy decisions and vendor evaluations
- Excellent cross-functional communication
- Willingness to support deal cycles with analytics insights
π Benefits
- Health insurance: medical, dental, vision plus FSA
- Generous PTO and flexible work arrangements
- 401K match of 4% with immediate vesting
- Sabbatical after six years of service
- Recognition program for peer-nominated contributions
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