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Menlo Park, California, United States; Bellevue, Washington, United States
Source: Snowflake careers · View original posting
From Snowflake's posting. “We” and “our” refer to the employer.
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.
AS A SENIOR TECHNICAL PROGRAM MANAGER — ML/AI, YOU WILL:
Own and drive complex, cross-team ML/AI programs end-to-end
— from scoping and planning through execution and launch — across model infrastructure, inference pipelines, AI functions, Cortex AI services, and AI-powered application features
Partner with ML Engineers, Research Scientists, Product Managers, and Engineering Leaders to define program roadmaps, surface dependencies, and build execution plans that account for the unique uncertainty and iteration cycles inherent to ML/AI development
Coordinate cross-org launches for AI features that span ML infrastructure, application surfaces (Streamlit, Notebooks, Cortex Code), and core platform — ensuring all teams ship cohesively and on time
Drive cross-functional alignment between ML/AI engineering, product, design, infrastructure, security, and legal/compliance teams on AI feature launches, model deployment, and responsible AI practices
dependency management, risk frameworks, milestone governance, stakeholder alignment, and escalation discipline
Get It Done
— You turn the inherent ambiguity of ML/AI into executable plans and deliver outcomes. You don't wait for perfect clarity — you create it.
Own It
— You treat your programs as your own end-to-end. You anticipate risks before they surface and drive resolution without being asked.
Make Each Other the Best
— You build bridges across ML research, engineering, and product. You create shared context and alignment that makes the whole organization move faster.
Think Big
— You see beyond the current sprint. You think about what it takes for Snowflake's AI capabilities to operate at 10x scale and help build the frameworks to get there.
Compensation
Snowflake is committed to pay equity and transparency. Actual compensation will be determined based on factors including relevant experience, skills, location, and internal equity.
Base Salary RangeTotal Target Compensation$166,000 – $249,000$190,900 – $286,350
In addition to base salary and bonus (15% target), this role is eligible for equity in the form of RSUs and a comprehensive benefits package including medical, dental, vision, 401(k), ESPP, generous PTO, and more.
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
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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