AI Product Sales Specialist

Sorry, this job was removed at 06:09 a.m. (UTC) on Thursday, Mar 05, 2026
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Hiring Remotely in US
Remote
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

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Snowflake is seeking an accomplished AI Product Sales Specialist to drive sales execution for our AI/ML workload. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Artificial Intelligence and Machine Learning capabilities.

RESPONSIBILITIES:
  • Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list

  • Execute tailored sales plays to capture market opportunities in AI/ML, helping customers optimize their use of Snowflake's platform.

  • Work directly with customers to understand their AI/ML needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements.

  • Become an expert in Snowflake’s Artificial Intelligence and Machine Learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s AI/ML capabilities.

  • Work with our Account Executives, Sales Engineers and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment

  • Track, analyze, and report on AI/ML sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement.

  • Partner with the broader cross-functional organization to integrate AI/ML sales efforts with Snowflake’s overall go-to-market plans.

QUALIFICATIONS:
  • 10+ years of professional experience and at least 6+ of years sales or sales engineering experience with consistently exceeding sales objectives selling technical solutions and software products

  • A strong track record of meeting or exceeding revenue targets in highly competitive markets

  • A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities

  • Proven ability to independently manage, develop, and close new client relationships

  • Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels.

  • In-depth knowledge of AI/ML and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains

  • Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product

  • Bachelor’s Degree preferred


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

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.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

Snowflake Insights

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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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