Principal Architect, Machine Learning Field CTO @ Snowflake | Jobright.ai
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Principal Architect, Machine Learning Field CTO jobs in California, United States
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Snowflake · 10 hours ago

Principal Architect, Machine Learning Field CTO

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AnalyticsArtificial Intelligence (AI)
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Comp. & Benefits
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H1B Sponsor Likelynote

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning SolutionsData Science ToolsCloud Native ML ToolsData Science FundamentalsPythonData Engineering TechnologiesDeep Learning ConceptsSpark ApplicationsTensorflowPytorchSQLPandasNumpySklearnLLM Developer ToolsRScala

Required

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
Bachelor’s Degree required

Preferred

Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Industry Focus a plus (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits

Company

Snowflake

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Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.

H1B Sponsorship

Snowflake has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (102)
2022 (257)
2021 (134)
2020 (129)

Funding

Current Stage
Public Company
Total Funding
$2.03B
Key Investors
Sequoia CapitalICONIQ GrowthAltimeter Capital
2022-08-05IPO
2022-04-19Post Ipo Equity· $621.46M
2020-02-07Series G· $479M

Leadership Team

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Sridhar Ramaswamy
CEO
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Benoit Dageville
President of Products & Co-Founder
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Company data provided by crunchbase
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