SnowflakeSolution Engineer, Enterprise Acquisition
Snowflake is hiring a Solution Engineer, Enterprise Acquisition for a remote role open to applicants in United States. It pays $165k-$217k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions SQL, Python and AI Tools among its tools and skills.
- Level classes it as a mid-level role.
- Snowflake has 354 other open roles on Level.
AI in this role
Partner with sales as a solution engineer to guide enterprise customers from raw data to scalable AI and data warehouse implementations.
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 Nashville, Tennessee OR Florida
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
How we rate this
Solution Engineer, Enterprise Acquisition at Snowflake rates 60 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
Questions you could be asked
- What's a project where you used SQL hands-on?
- Walk me through how you've used Python in your day-to-day work.
- What are the limits of AI Tools that you've run into, and how did you work around them?
- What's a project where you used LLMs hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: SQL, Python, AI Tools, and LLMs. 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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