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Snowflake

Senior Engineering Manager - Control Plane & Regulatory and Sovereign Cloud

Snowflake is hiring a Senior Engineering Manager - Control Plane & Regulatory and Sovereign Cloud in Menlo Park, United States. It pays $264k-$380k a year and Level rates it ; you can apply on Snowflake.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Snowflake has 376 other open roles on Level.
  • Posted in the last few days.

AI in this role

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

We are looking for a Senior Engineering Manager in the area of Control Plane and/or RSC (Regulatory and Sovereign Cloud). Control Plane is the production platform layer that creates and manages the infrastructure Snowflake runs on, converting intent into continuously managed, reliable infrastructure across cloud providers and regions. RSC extends that foundation to regulated and sovereign environments, including US government, air-gapped regions, and sovereign deployments worldwide. Together, these teams play a critical role in making Snowflake available to new customers, clouds, and regulatory environments. This role will own one of these two areas, or both, depending on your background and the teams’ needs.

AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL:

• Set the technical strategy and roadmap for your team, and be accountable for team plans and deliverables.

• Advance AI-driven automation and software development across deployments, operations, and compliance workflows to improve consistency, scalability, and efficiency.

• Own key delivery aspects of bringing up new commercial, regulated and sovereign deployments, and partner with product and other engineering teams to bring feature parity to existing and these environments.

• Partner with Compliance, Legal, Security, and IT on authorizations and access models for restricted environments.

• Recruit, develop, and mentor engineering leaders and engineers, while remaining technically engaged in end to end delivery aspects.

OUR IDEAL CANDIDATE WILL HAVE:

• 12+ years of experience building and operating large-scale distributed systems, infrastructure, or cloud services.

• 5-7 years of engineering management experience.

• Significant cloud experience in one or more CSPs such as AWS, Azure, GCP, Oracle Cloud or others including experience in IaC tools and infrastructure automation

• Experience operating highly available SaaS platforms, including release and configuration management and multi-region rollout

• Experience delivering in regulated or sovereign environments is a plus.

• A track record of leading cross-organizational programs with many dependencies and tight timelines.

• Strong hands-on technical ability, including diving deep into system design and implementation, and a working understanding of AI-assisted software development.

• Excellent communication skills, with the ability to explain complex technical and regulatory topics to executive audiences.

• BS/MS in Computer Science or a related field, or equivalent experience.

WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE?

• Build and secure the foundational infrastructure that the Snowflake AI Data Cloud runs on, for some of the most regulated customers in the world.

• Lead and grow a team of industry veterans and rising stars, in a role that will push you to grow both technically and as a leader.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

How we rate this

Senior Engineering Manager - Control Plane & Regulatory and Sovereign Cloud at Snowflake rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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