Data Cloud Principal, Snowflake
AI/ML
$150-214.2k
+ Bonus + Equity
3-5 days a week in office
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$150-214.2k
+ Bonus + Equity
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 5+ years of experience within a pre-sales environment or customer facing role
- Broad range of experience within Data Science / Machine Learning teams working with ML platforms and cloud technologies
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Hands-on expertise with Python and SQL
- Ability to connect a customer’s specific business problems and Snowflake’s solutions
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
What the job involves
- We are looking for a Data Cloud Principal for AI/ML who has a technical background in Machine Learning / Data Science but is also excited and comfortable sharing Snowflake AI capabilities with audience of all types, from business executives to technology leaders
- In this role you will work directly with the sales, product, engineering, partner and marketing teams to help create, refine and evangelize AI capabilities with the Snowflake Data Cloud
- We deliver executive level sales demonstrations to both business and technical leaders on Snowflake's product vision and strategy, and help highlight the differential benefit of running AI/ML workloads on the Snowflake Data Cloud platform
- We support spreading AI/ML awareness and pipeline building via both presentations and publications at all the various Snowflake, partner, or industry events such as conferences/webinars, blogs, panels, private workshops, etc
- We work continuously with product marketing to develop and refine AI/ML sales messaging for broader reuse amongst sales teams globally, with the inclusion of other Snowflake competitive intelligence teams
- We hunt down and drive initial customer adoption on the latest AI/ML product releases with initial interested customers and act as the voice of the customer influencing future product developments and product roadmap
- We engage in and critique AI/ML product proposals and reviews brought forth by product and engineering teams
- We engage with Alliances to conduct partner technology discovery for the use in Snowflake AI/ML solution stacks, with the inclusion of Snowflake industry teams
- We drive innovation in the design and deployment of the Snowflake Cloud Data platform as a critical component for the many layers of concepts (MLOps, Feature Stores, GenAI/LLMs) and subcategories of use cases (timeseries, unstructured data) in AI/ML
- We explore and develop technical prototypes and publish product ideas based on emerging industry trends and technology patterns for evaluation
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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