Senior Manager of Marketing Operations, Snowflake

GTM Engineer

$158-206.9k

+ Equity + Bonus

SQL

TypeScript

JavaScript

Python

Tableau

Looker

Salesforce

Power BI

Marketo

Senior and 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

Open for applications

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$158-206.9k

+ Equity + Bonus

SQL

TypeScript

JavaScript

Python

Tableau

Looker

Salesforce

Power BI

Marketo

Senior and 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

6+ years of demonstrated experience in Marketing Operations or Revenue Operations within a high-growth SaaS environment
Hands-on, expert-level experience with Salesforce, Marketo
Hands-on experience with data orchestration and automation platforms, like Clay, Workato
A proven track record of applying AI or advanced automation to solve complex business problems, with practical experience with AI concepts (LLMs, RAG, prompt engineering)
Strong proficiency in Python or JavaScript/TypeScript for building automation scripts and handling API requests
Exceptional communication and executive presence, with the ability to clearly articulate complex technical strategies to both technical and non-technical stakeholders
A "builder" and "practical innovator" mindset: who turns problems into scalable solutions
Highly analytical and process-driven, focused on efficiency and scalability
Proficiency in SQL, or BI visualization tools (e.g., Tableau, Looker, Power BI) is a definite advantage

What the job involves

We're searching for a high-impact, results-driven individual to join our team as a GTM Systems Engineer, focused on revolutionizing our marketing operations and go-to-market (GTM) motion
This is a critical role that will leverage cutting-edge AI and automation to build the scalable technical backbone that accelerates customer acquisition and expansion across the entire GTM organization
You'll partner closely with Marketing, Sales, and Data teams to translate strategic vision into high-performing, measurable systems
Streamline and optimize marketing processes—including campaign creation, audience segmentation
Partner with Marketing, Marketing Intelligence and Sales Operations teams to identify and scope opportunities for AI-driven solutions and technology adoption across teams
Integrate AI APIs, MCP Servers, and other automation tools to build agents and workflows that improve Marketing’s Go-to-Market motions
Architect, build, and deploy AI prototypes and scalable automated workflows (integrating LLMs and AI APIs) to proactively eliminate friction and drive efficiency gains across end-to-end marketing processes
Create and maintain technical documentation and training materials to ensure adherence to operational best practices and increase team self-sufficiency

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 (3.9)

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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