Jobs
Benefits & Perks
•Competitive salary and bonus
•401(k) matching
•Stock options
•Development budget
•Health benefits
•Equity
•Healthcare
Required Skills
SQL
SAP
Tableau
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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.
WHAT YOU'LL DO:
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Streamline and optimize marketing processes—including campaign creation, audience segmentation.
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Partner with Marketing, Marketing Intelligence and Sales Operations teams to identify and scope opportunities for AI-driven solutions and technology adoption across teams.
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Integrate AI APIs, MCP Servers, and other automation tools to build agents and workflows that improve Marketing’s Go-to-Market motions.
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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.
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Create and maintain technical documentation and training materials to ensure adherence to operational best practices and increase team self-sufficiency.
OUR IDEAL CANDIDATE WILL HAVE:
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6+ years of demonstrated experience in Marketing Operations or Revenue Operations within a high-growth SaaS environment.
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Hands-on, expert-level experience with Salesforce, Marketo.
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Hands-on experience with data orchestration and automation platforms, like Clay, Workato.
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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).
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Strong proficiency in Python or JavaScript/TypeScript for building automation scripts and handling API requests.
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Exceptional communication and executive presence, with the ability to clearly articulate complex technical strategies to both technical and non-technical stakeholders.
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A "builder" and "practical innovator" mindset: who turns problems into scalable solutions.
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Highly analytical and process-driven, focused on efficiency and scalability.
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Proficiency in SQL, or BI visualization tools (e.g., Tableau, Looker, Power BI) is a definite advantage.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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