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SnowflakeSnowflake

Principal Product Manager

Principal Product Manager owning Snowflake's IAM strategy and roadmap for the AI era. Architect features for secure autonomous agent access, simplify auth/authz experiences, and lead cross-functional efforts with 50+ engineers at hyperscale.

About the job

Responsibilities

  • Own and define the long-term product strategy and roadmap for Snowflake’s IAM ecosystem, factoring in market-shifting competitive trends and technical evolutions.
  • Architect IAM features that allow autonomous agents to securely access systems and take action.
  • Architect IAM features that simplify the admin experience and end user experience for authentication and authorization.
  • Partner closely with Distinguished and Principal Engineers, cross-functionally driving alignment across a broad technical organization of roughly 50+ engineers.
  • Act as a well-respected, autonomous leader across all seniority levels at Snowflake, establishing product values, setting bars for quality, and mentoring junior PMs.

Requirements

  • 10+ years of technical product management experience centered in Identity and Access Management (IAM), cloud platform infrastructure, or enterprise security.
  • Proven background operating at companies with deep cloud platform or identity expertise (e.g., AWS, GCP, Azure, Databricks, Okta).
  • Active experience navigating access, data governance, or identity challenges for LLM orchestration frameworks, AI platforms, or agentic workflows.
  • Track record of taking massive, ambiguous infrastructure initiatives from initial concept through global enterprise deployment.
  • Ability to go toe-to-toe with elite technical leaders, translating intricate security concepts into clear, high-impact product architecture.
  • Strong business acumen with the ability to foresee the short- and long-term consequences of complex platform investments and architectural trade-offs.

Skills

Identity And Access Management, IAM, Cloud Platform Infrastructure, Enterprise Security, AWS, GCP, Azure, Databricks, Okta, Llm Orchestration, Ai Platforms, Agentic Workflows, Data Governance

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