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.
One of the key pillars of Snowflake’s platform is our commitment to Effortless Operations at Scale. As our customers evolve from startups into global data empires, we don't just provide tools—we provide the intelligent orchestration layer that allows a unified portfolio of accounts to act as a single, unified organism.
We are seeking a Senior Product Manager to lead a strategic initiative within the Global Scale & Control team. Your mission is to build the "Cognitive Layer" of the Snowflake agentic Meta-Model: the orchestration framework that ensures a customer's 1,000th account is as easy to discover, govern, and orchestrate as their first. We are pushing the boundaries of what effortless operations means in the world of AI, building the first “self-driving” enterprise management experience.
In This Role, You Will:Infuse Agentic Orchestration: Define how AI agents and automated workflows proactively resolve "scale friction"—optimizing global spend, security postures, and resource distribution across thousands of accounts.
Architect the Expansion Engine: Own the product strategy and "Meta-Model" architecture that allows customers to double their Snowflake footprint without doubling their operational overhead.
Drive 0-to-1 Evolution: Lead the transition from ambiguous, portfolio-wide problem statements to a v1 launch of a centralized platform command center.
Set the "Orgs-First" Standard: Act as the primary cross-functional catalyst, influencing roadmaps company-wide to ensure every new Snowflake feature is natively compatible with a multi-account, agentic fabric.
Engineer the Enterprise Experience: Collaborate with CTOs and Lead Platform Architects at our largest customers to validate that our orchestration layer empowers them to move at the speed of thought, not the speed of infrastructure.
Eliminate Growth Friction: Identify and dismantle the technical and architectural hurdles that prevent customers from scaling, turning "Ease of Use" into a measurable competitive advantage.
7+ years of Product Management experience, with a focused 3+ year track record in Cloud Infrastructure, Distributed Systems, or IaaS/PaaS solutions.
AI/ML Literacy: You understand how to apply AI tools to enable new customer experiences and solve operational problems.
Systems Thinking: You excel at decomposing "architectural spaghetti" into clean, scalable hierarchies. You are comfortable discussing API contracts, multi-tenant models, and global state.
A Growth Mindset: You view "Ease of Use" as a competitive advantage that drives platform expansion. You are obsessed with removing the technical hurdles that prevent customers from scaling.
0-to-1 Mastery: You have successfully taken complex infrastructure products from a whiteboard concept to a high-scale production environment.
Technical Foundation: A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
Skills Required
- 10+ years of Product Management experience
- at least 5+ years building cloud infrastructure, SaaS platforms, or IaaS/PaaS solutions
- Bachelor's degree in Computer Science, Engineering, or related field
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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