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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We're searching for a high-impact, results-driven individual to join our team as a GTM Systems Engineer, focused on revolutionizing our ABM, Paid Media/Advertising, and growth marketing motions. This is a critical role that will leverage AI, CDP, and automation platforms to build the scalable technical backbone powering real-time audience activation, paid media operations, and personalized campaign delivery across hundreds of thousands of accounts. You'll partner closely with Marketing and Data teams to translate strategic vision into high-performing, measurable systems.
Streamline and optimize digital marketing, ABM, and growth marketing processes, including advertising campaign creation, audience segmentation, and offline workflows that enable boutique customer touchpoints at scale.
Serve as the primary technical partner to the internal Paid Media & ABM team, co-developing the innovation roadmap, fast-tracking automation priorities, and translating their strategic needs into production-ready AI solutions.
Partner with cross-functional, global Marketing teams and Data and Analytics 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 paid media and abm motions at scale.
Design and maintain Workato-based automation recipes and integrations that orchestrate lead routing, audience activation, and campaign operations across the GTM stack; integrate AI APIs and MCP Servers to build intelligent agents that accelerate ABM and paid media workflows.
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.
Design and build first- and third-party data-driven feedback loops that connect ad platform data, first-party campaign responses, and down-funnel pipeline metrics into a unified closed-loop system — including integration with offline conversion APIs to enable value-based bidding strategies that optimize ad spend toward pipeline and revenue.
Run structured experiments to evaluate AI tools, prompt strategies, and automation approaches - rapidly iterating from proof-of-concept to production.
Create and maintain technical documentation and training materials to ensure adherence to operational best practices and increase team self-sufficiency.
Build and manage CDP-driven audience pipelines — configuring audience syncs, match rate optimization, and suppression workflows to ensure paid media campaigns target the right accounts with minimal waste.
Build and enforce outcome-specific campaign setup frameworks, accounting for differentiated requirements and KPIs across Paid Media and ABM
Define and track KPIs that measure the impact of AI and automation investments - including time savings, workflow efficiency gains, audience match rates and contribution to pipeline from AI-enhanced campaigns.
4+ years of demonstrated experience in Marketing Operations or Revenue Operations within a high-growth SaaS environment.
Hands-on, expert-level experience with advertising solutions including LinkedIn, Google, Meta, Reddit, Influ2, Demandbase and industry-leading DSP’s.
Expert-level, hands-on experience with Workato (required) — building and maintaining recipes, API connectors, and error handling for marketing automation workflows. Experience with Clay or similar enrichment tools is a plus.
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.
Experience evaluating and adopting emerging AI tools (e.g., new LLM capabilities, AI-native marketing platforms).
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.
Experience building and managing CDP-driven audience pipelines, including audience syncs, match rate optimization and suppression workflows.
Familiarity with agent frameworks (e.g., LangChain, CrewAI, or similar) for building multi-step AI workflows is a plus.
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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Snowflake is a cloud-based data platform that provides data warehousing, data lakes, and data sharing capabilities. The company serves enterprises across various industries by enabling them to store, process, and analyze large datasets while supporting AI and machine learning applications. Their customers include Fortune 500 companies and organizations seeking scalable, secure data infrastructure.
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