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Solution Engineer, Enterprise Acquisition

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site

Job Description

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.

Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation.

In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences.

Location: Candidate MUST be located in the Mid-Atlantic (New Jersey, Pennsylvania, Delaware, Virginia or West Virginia)

What You’ll Do

  • Lead customer conversations on AI strategy and data modernization.

  • Design and demonstrate scalable data and AI solutions using SQL and Python.

  • Support enterprise Proof of Concepts from concept to value realization.

  • Translate complex technical concepts into measurable business outcomes.

  • Navigate objections and competitive dynamics in high-stakes sales cycles.

  • Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery.

What You Bring

  • Strong SQL proficiency and experience with modern data warehousing.

  • Experience using Python for analytics or ML workflows.

  • Familiarity with AI/ML concepts, including Generative AI and LLMs.

  • Exceptional communication skills across technical and executive audiences.

  • Ability to influence stakeholders and maintain credibility under pressure.

  • A growth mindset with a track record of learning and adapting quickly.

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

Automate your job search with Sonara.

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FAQs About Solution Engineer, Enterprise Acquisition Jobs at Snowflake

What is the work location for this position at Snowflake?
This job at Snowflake is located in New York, New York, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Snowflake?
Employer has not shared pay details for this role.
What employment applies to this position at Snowflake?
Snowflake lists this role as a Full-time position.
What experience level is required for this role at Snowflake?
Snowflake is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Snowflake?
You can apply for this role at Snowflake either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.