Snowflake Logo

Snowflake

Solution Engineer

Posted 14 Days Ago
Be an Early Applicant
In-Office
San Mateo, CA, USA
138K-181K Annually
Senior level
In-Office
San Mateo, CA, USA
138K-181K Annually
Senior level
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.

Location: Candidate MUST be available to work out of our Menlo Park office 2/3 days a week.

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
  • 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.

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

Snowflake Dublin, California, USA Office

4140 Dublin Blvd., Dublin, CA, United States, 94568

Snowflake Menlo Park, California, USA Office

135 Constitution Dr, Menlo Park, CA, United States, 94025

Similar Jobs

3 Hours Ago
Remote or Hybrid
2 Locations
226K-355K Annually
Senior level
226K-355K Annually
Senior level
Software
Lead technical pre-sales for Lambda's AI cloud: design and propose high-performance GPU infrastructure, run PoCs and benchmarks, architect and optimize distributed AI/ML workloads, advise on networking/storage, collaborate with sales and product teams, create enablement materials, and mentor junior SEs.
Top Skills: AnsibleC/C++ (Cuda)DockerGoHgxInfinibandKubernetesNemoNfsNvidia GpuNvlinkNvme-OfPythonPyTorchRoceSlurmTensorrt-LlmTerraformVastVllmWeka
Yesterday
In-Office
106K-223K Annually
Mid level
106K-223K Annually
Mid level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Lead AI transformation and technical pre-sales for Finance & Supply Chain ERP, driving POCs, workshops, demos, and technical win strategies. Engage C-suite and technical decision makers, collaborate with partners and engineering, address Copilot/AI Agents compliance and security concerns, and support pipeline creation, deal velocity, and competitive wins for D365 F&SC and Microsoft AI solutions.
Top Skills: AzureAzure AdministratorAzure ArchitectureAzure DevelopmentCloud Platform TechnologiesCopilot StudioDynamics 365 Finance & Supply Chain (D365 F&Sc)Information SecurityLob Ai AgentsMicrosoft Office 365Power BI
Yesterday
Remote or Hybrid
2 Locations
226K-355K Annually
Senior level
226K-355K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead technical pre-sales for AI GPU cloud solutions: design architectures, run PoCs and benchmarks, optimize distributed training/inference, produce proposals and enablement assets, and advocate customer feedback to Product and Engineering.
Top Skills: AnsibleCC++CudaDockerGoInfinibandKubernetesNemoNfsNvidia HgxNvlinkNvme-OfPythonPyTorchRoceSlurmTensorrt-LlmTerraformVastVllmWeka

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account