Staff Product Manager - AI FDE
Snowflake is hiring a Staff Product Manager - AI FDE for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Cortex, AI agents and AI product.
- Level classifies it as a lead role.
- Level lists 353 other open roles at Snowflake.
AI in this role
Lead product vision and execution for enterprise generative AI and machine learning services at Snowflake.
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.
ABOUT THE ROLE
The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services.
In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you.
AS A STAFF APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:
Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development, launch, and the analysis of metrics to ensure a successful impact.
Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects. You will drive execution, partner with design, marketing, and sales to bring products to market, and act as the evangelist for your product vision.
Be the Voice of the Customer: Act as the critical bridge between customer objectives and our technical capabilities. You will engage deeply with users and executives to gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing, high-value problems.
Commercialize Innovation: Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products. You will own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features.
Shape Business Strategy: Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define product strategy and execute on high-stakes business goals.
OUR IDEAL STAFF PRODUCT MANAGER WILL HAVE:
A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
8+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud services.
Deep technical fluency to confidently lead architectural discussions with senior engineers and have hands-on experience with data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows).
Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap.
Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges.
Exceptional executive presence and communication skills. You can command a room of C-level stakeholders and inspire a team around a shared vision.
A "get it done" attitude with a passion for building exceptional products.
Bonus Points (Nice to Haves):
Experience building and launching products for developers or data scientists.
Familiarity with the Snowflake platform and Data Cloud ecosystem.
Management consulting experience.
Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving focus.
Experience in a role that directly supported a professional services or forward-deployed engineering team.
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
Staff Product Manager - AI FDE at Snowflake rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Product, Product Management, Generative AI, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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