Senior Product Manager - Applied AI

Reposted 4 Days Ago
Be an Early Applicant
Menlo Park, CA, USA
In-Office
200K-288K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead the product vision and execution for AI Solutions at Snowflake, managing the end-to-end product lifecycle while collaborating with customers and engineering teams to deliver innovative solutions.
Summary Generated by Built In

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.

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 SENIOR 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 SENIOR PRODUCT MANAGER WILL HAVE:
  • A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.

  • 7+ 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.

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 experience in product management
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • Hands-on experience with data science workflows and modern AI paradigms
  • Demonstrated ability to develop product strategy and actionable roadmap
  • Strong customer empathy and experience with enterprise customers
  • Exceptional executive presence and communication skills

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

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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