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Snowflake PRINCIPAL ARCHITECT MACHINE LEARNING FIELD CTO OFFICE 
United States 
192592712

25.06.2024
IN THIS ROLE YOU WILL GET TO:
  • Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • Work with our sales teams, product management, and partners to drive innovation in our Cloud Data Platform and adoption of Snowflakes core ML and GenAI technologies
  • Partner with sales team and channel partners to understand the needs of our customers, strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts
  • Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
  • Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
  • 5+ years of experience building and deploying machine learning solutions in the cloud
  • Deep technical hands on expertise within Data Science tools and ecosystem
  • 2+ years of working with cloud native ML tools
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Working knowledge with data engineering technologies and tools (dbt, Airflow, etc)
  • Expert level knowledge of Data Science and ML fundamentals
  • Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow, etc).
  • 2+ years experience building and deploying ML and data engineering applications and solutions on Spark
  • Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
  • Working knowledge of SQL
  • Introductory familiarity with LLM developer tools like langchain or LlamaIUndex
  • Industry Focus a plus (Financial Services, Healthcare & Lifesciences, Media, Retail / CPG, Manufacturing, Insurance, Technology and Telecom, or Federal)
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experiencepreferred.

The following represents the expected range of compensation for this role:

  • The estimated base salary range for this role is $176,000 - $252,000.
  • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.