AI Product Sales Specialist, Snowflake

$300-393.8k

OTE

$180-236.3k

BASE

Additionally, this role is eligible to participate in Snowflake’s equity plan

Expert level

San Francisco Bay Area

3-5 days a week in office ( Menlo Park, CA)

AI Data Cloud for data sharing and app building

Be an early applicant

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

$300-393.8k

OTE

$180-236.3k

BASE

Additionally, this role is eligible to participate in Snowflake’s equity plan

Expert level

San Francisco Bay Area

3-5 days a week in office ( Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

10+ years of professional experience and at least 6+ of years sales or sales engineering experience with consistently exceeding sales objectives selling technical solutions and software products
A strong track record of meeting or exceeding revenue targets in highly competitive markets
A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities
Proven ability to independently manage, develop, and close new client relationships
Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels
In-depth knowledge of AI/ML and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product
Bachelor’s Degree preferred

What the job involves

Snowflake is seeking an accomplished AI Product Sales Specialist to drive sales execution for our AI/ML workload. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Artificial Intelligence and Machine Learning capabilities
Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list
Execute tailored sales plays to capture market opportunities in AI/ML, helping customers optimize their use of Snowflake's platform
Work directly with customers to understand their AI/ML needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements
Become an expert in Snowflake’s Artificial Intelligence and Machine Learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s AI/ML capabilities
Work with our Account Executives, Sales Engineers and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment
Track, analyze, and report on AI/ML sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement
Partner with the broader cross-functional organization to integrate AI/ML sales efforts with Snowflake’s overall go-to-market plans

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

Insights

Top investors

37% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

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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