Solution Engineer

Posted 10 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
132K-173K Annually
Entry 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
The Solution Engineer will lead customer conversations on AI strategy, design scalable data and AI solutions, and support enterprise Proof of Concepts. They will influence stakeholders while communicating technical concepts effectively to drive business outcomes.
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.

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 Toronto, Canada.

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.

At Snowflake, you’ll work at the forefront of enterprise AI adoption, helping customers move from data to intelligent action — faster.

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

  • 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

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.

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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