Snowflake PRINCIPAL ARCHITECT MACHINE LEARNING FIELD CTO 

United States, California 

81299792

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 product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform

• Be hands on and build AI ML POCs (Proof of Concept) for and with customers

• 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:

• 4+ 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/data engineering applications and solutions on Spark

• Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)

• Introductory familiarity with LLM developer tools like langchain.

• Working knowledge of SQL, R, Scala and / or other scripting languages

• Industry Focus a plus (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)

• 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 $91,000 - $273,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.