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.
Snowflake’s AI Data Cloud is the unified platform for building, using, and sharing data, apps, and AI. At the core of our AI strategy is the Cortex LLM Platform, the high-performance infrastructure that underpins all of Snowflake’s AI products, including Snowflake Intelligence, Cortex Agents, Cortex AI functions, and customer-facing REST APIs.
We are seeking a Product Manager to lead the strategy and execution for the Cortex LLM Platform. In this role, you will own the foundational infrastructure that enables LLM serving at scale. You will be at the intersection of AI systems, service deployment, and data infrastructure, ensuring that Snowflake remains the smartest and most efficient cloud layer for the next generation of enterprise AI applications.
This is a high-visibility opportunity to solve complex, systemic problems regarding AI model performance, inference elasticity, and cost-efficiency. You will partner with senior architects and engineering leaders to translate cutting-edge LLM technology into scalable enterprise solutions.
IN THIS ROLE YOU WILL:Define the Vision: Own the product strategy and long-term roadmap for the LLM platform layer that powers Snowflake’s core AI services and third-party developer tools.
Architect for AI Scale: Partner deeply with engineering teams to innovate on AI infrastructure, focusing on high-performance services and seamless integration with Snowflake’s data layer.
Drive 0-to-1 Execution: Spearhead the launch and maturation of new Cortex platform capabilities, driving the shift toward intelligent, serverless-style AI compute that reacts instantly to workload demands.
Foster Cross-Functional Alignment: Serve as the central point of influence across Snowflake’s AI organization. You will synthesize technical requirements from partner teams (e.g., AI SQL, Snowflake Intelligence) into a cohesive, actionable platform plan.
Uncover Insights: Utilize data-driven governance to track key metrics such as inference performance, GPU utilization, and margins to inform the platform’s next strategic bets.
Partner with Customers: Collaborate with Platform Architects at leading enterprises to validate AI infrastructure designs, gather feedback via preview programs, and solve critical scale challenges.
Experience: 7+ years of Product Management experience, with at least 3+ years specifically building AI/ML infrastructure, LLM serving platforms, or cloud compute systems.
Systems Thinking: Deep technical comfort with LLM serving, AI infrastructure, API contracts, and distributed systems. You can decompose complex technical problems and dive deep into cloud architecture.
Cross-Org Leadership: A proven track record of leading through influence, driving alignment across global engineering and product teams, and presenting to executive leadership.
Customer Empathy: A passion for "Ease of Use." You understand the friction points AI developers face and have a relentless desire to deliver the best enterprise-grade AI platform.
Modern Prototyping Skills: Comfort using modern AI and design tools to rapidly mock up wireframes and PRDs to visualize complex AI workflows.
Educational Background: Bachelor’s or Advanced degree in Computer Science, Engineering, or a related technical field.
Join us at the forefront of AI innovation where you’ll lead transformative initiatives that shape the future of data and artificial intelligence. Snowflake is growing fast, and we are looking for people who challenge ordinary thinking and push the pace of innovation while building a future for themselves and the company.
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
- 7+ years of Product Management experience
- 3+ years building AI/ML infrastructure or cloud compute systems
- Bachelor's or Advanced 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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