Senior Solution Engineer

SnowflakePhiladelphia, PA
Onsite

About The Position

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.

Requirements

  • 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.

Responsibilities

  • 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.
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