Высокоуровневая роль в топовой дата-компании на стыке AI-инжиниринга и GTM-операций. Отличный вариант для тех, кто хочет создавать реальных AI-агентов в продакшене с четко определенными задачами.
GTM Engineer (AI & Marketing Automation): Building and optimizing the technical infrastructure for ABM and growth marketing using AI, CDP, and automation platforms with an accent on real-time audience activation and personalized campaign delivery. Focus on architecting AI-driven workflows, integrating LLMs via APIs, and creating closed-loop data systems to optimize ad spend.
Salary: $96K – $126K
Company
Snowflake is a cloud-based data platform powering the era of the agentic enterprise.
What you will do
Optimize digital marketing, ABM, and growth processes, including audience segmentation and offline workflows.
Act as the primary technical partner for Paid Media & ABM teams to develop innovation roadmaps and production-ready AI solutions.
Integrate AI APIs, MCP Servers, and automation tools to build intelligent agents for marketing motions.
Design and maintain Workato recipes for lead routing, audience activation, and campaign operations.
Build CDP-driven audience pipelines with a focus on match rate optimization and suppression workflows.
Develop first- and third-party data feedback loops connecting ad platform data with down-funnel pipeline metrics.
Requirements
4+ years of experience in Marketing or Revenue Operations within a high-growth SaaS environment.
Expert-level experience with Workato building recipes, API connectors, and automation workflows.
Hands-on expertise with advertising platforms such as LinkedIn, Google, Meta, and industry-leading DSPs.
Practical experience with AI concepts including LLMs, RAG, and prompt engineering.
Proficiency in Python or JavaScript/TypeScript for automation scripts and API handling.
Must be based in Menlo Park, CA.
Nice to have
Proficiency in SQL or BI visualization tools (e.g., Tableau, Looker, Power BI).
Experience with Clay or similar enrichment tools.
Familiarity with agent frameworks such as LangChain or CrewAI for multi-step AI workflows.
Culture & Benefits
Experimental mindset where you can rapidly test emerging AI capabilities.
Low-ego, collaborative environment in a dynamic and fast-moving corporate culture.
Opportunity to redefine the future of work through AI-native thinking and innovation.
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