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Snowflake

Runs a cloud platform for business data and AI

GTM Engineer - ABM, Advertising and Growth Marketing

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$96k - $126k /yrIn-person

About the Job

Requirements

  • At least 4 years of experience in Marketing Operations or Revenue Operations within a high-growth SaaS environment.
  • Hands-on experience with advertising solutions including LinkedIn, Google, Meta, Reddit, Influ2, Demandbase, and industry-leading demand-side platforms.
  • Expert hands-on experience with Workato, including building and maintaining recipes, API connectors, and error handling for marketing automation workflows.
  • A proven track record of applying AI or advanced automation to solve complex business problems, with practical experience in large language models, retrieval-augmented generation, and prompt engineering.
  • Proficiency in Python or JavaScript/TypeScript for building automation scripts and handling API requests.
  • Experience evaluating and adopting emerging AI tools, such as new large language model capabilities and AI-native marketing platforms.
  • Experience building and managing customer data platform-driven audience pipelines, including audience syncs, match-rate optimization, and suppression workflows.
  • Every employee must follow confidentiality and security standards for handling sensitive data and abide by the company’s data security plan to keep customer information secure and confidential.

Responsibilities

  • Streamline and optimize digital marketing, account-based marketing, 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 and ABM team, co-developing the innovation roadmap, fast-tracking automation priorities, and translating strategic needs into production-ready AI solutions.
  • Partner with global Marketing, Data, and Analytics teams to identify and scope opportunities for AI-driven solutions and technology adoption.
  • Integrate AI application programming interfaces, Model Context Protocol servers, and other automation tools to build agents and workflows that improve paid media and account-based marketing motions at scale.
  • Design and maintain Workato-based automation recipes and integrations that orchestrate lead routing, audience activation, and campaign operations across the go-to-market stack; integrate AI application programming interfaces and Model Context Protocol servers to build intelligent agents for account-based marketing and paid media workflows.
  • Architect, build, and deploy AI prototypes and scalable automated workflows integrating large language models and AI application programming interfaces to eliminate friction and improve efficiency across end-to-end marketing processes.
  • Design and build first- and third-party data-driven feedback loops connecting advertising-platform data, first-party campaign responses, and downstream pipeline metrics into a unified closed-loop system, including offline conversion application programming interfaces for value-based bidding strategies that optimize advertising spend toward pipeline and revenue.
  • Run structured experiments to evaluate AI tools, prompt strategies, and automation approaches, iterating from proof of concept to production.
  • Create and maintain technical documentation and training materials to support operational best practices and increase team self-sufficiency.
  • Build and manage customer data platform-driven audience pipelines, configuring audience syncs, match-rate optimization, and suppression workflows to target the right accounts with minimal waste.
  • Build and enforce outcome-specific campaign setup frameworks that account for differentiated requirements and key performance indicators across Paid Media and ABM.
  • Define and track key performance indicators measuring AI and automation investments, including time savings, workflow efficiency gains, audience match rates, and contribution to pipeline from AI-enhanced campaigns.

Desired Qualifications

  • Experience with Clay or similar enrichment tools.
  • Proficiency in SQL or business intelligence visualization tools such as Tableau, Looker, or Power BI.
  • Familiarity with agent frameworks such as LangChain or CrewAI for building multi-step AI workflows.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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