Sr. Principal, Product Management

Added
23 hours ago
Type
Full time
Salary
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Related skills

databricks mlops langchain llamaindex sagemaker

πŸ“‹ 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

🎯 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

🎁 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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