Solution Engineer

Snowflake Inc.
Denver, CO, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$189,000.0 - $248,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Transformation Data Security Data Warehousing Python (Programming Language) Raw Data SQL Databases Snowflake

Job description

Customer-facing Solution Engineer partnering with Sales to architect scalable data and AI solutions. Lead AI strategy conversations, design and demo solutions using SQL and Python, run enterprise POCs, translate technical concepts to business outcomes, and influence stakeholders in complex sales cycles. The summary above was generated by AI

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., * 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.

Requirements

  • 5+ years of industry experience.
  • 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.

Benefits & conditions

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What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

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.

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