GTM Engineer - ABM, Advertising and Growth Marketing

Menlo Park, CA (On-site)

$96K/yr – $126K/yrMid Level4+ years expFull time

Posted 2 months ago

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Job Summary

Own the modernization of marketing operations by building AI-powered automation that connects paid media, ABM, and data pipelines, turning complex workflows into scalable, measurable improvements.

  • Automation & AI Workflows: Accelerate audience activation, lead routing, and campaign operations through AI-enabled automation that scales boutique touchpoints.
  • Prototyping & Validation: Design, test, and deploy AI prototypes and production-ready workflows to cut friction and improve efficiency across end-to-end marketing processes.
  • Cross-Functional Delivery: Partner with global Marketing and Analytics teams to identify opportunities, define roadmaps, and deliver AI-driven solutions that lift pipeline and ROAS.

Job Description

Responsibilities

  • Automation & AI Workflows: Streamline digital marketing, ABM, and growth processes through advertising creation, audience segmentation, and scalable offline workflows.
  • Technical partner for Paid Media & ABM: Co-develop innovation roadmaps and accelerate automation through production-ready AI solutions.
  • Cross-functional AI opportunities: Partner with global Marketing and Data Analytics to identify AI adoption opportunities across teams.
  • AI integration & automation: Integrate AI APIs, MCP Servers, and tools to build agents that scale paid media and ABM motions.
  • Workflow orchestration: Design Workato-based automation recipes to route leads, activate audiences, and run campaigns across GTM stack with AI integration.
  • AI prototypes & scalable workflows: Architect and deploy AI prototypes to reduce friction and boost efficiency across marketing processes.
  • Data-driven feedback loops: Create data loops linking ad data, first-party responses, and pipeline metrics, including offline conversions for value-based bidding.
  • Structured experiments: Run experiments to evaluate AI tools, prompts, and automation, moving from PoC to production.
  • Documentation & training: Produce technical docs and training to improve operational practices and team autonomy.
  • CDP-driven audience pipelines: Configure audience syncs, match rate optimization, and suppression for precise paid media targeting.

Requirements

  • 4+ years in Marketing Operations or Revenue Operations in a high-growth SaaS environment.
  • Hands-on ads experience across LinkedIn, Google, Meta, Reddit, Influ2, Demandbase, and top DSPs.
  • Expert-level Workato: building recipes, API connectors, and error handling; Clay or enrichment tools a plus.
  • Proven AI/automation track record with practical AI concepts (LLMs, RAG, prompts).
  • Strong Python or JavaScript/TypeScript skills for automation scripts and API work.
  • Experience evaluating emerging AI tools and platforms for marketing use.
  • Excellent communication with ability to explain complex tech to diverse stakeholders.

Preferred

  • Familiarity with agent frameworks (LangChain, CrewAI) for multi-step AI workflows.
  • Builder mindset: practical innovator turning problems into scalable solutions.
  • SQL or BI tooling (Tableau, Looker, Power BI) proficiency a plus.
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Snowflake

3.9 Glassdoor

**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.**Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.

Founded in 2012
Cloud, Iowa, USA
11K employees (633 in marketing)
74% recommend to a friend
85% CEO approval

Traffic Signals

Monthly Visitors
4.6M
Traffic Source Mix
Search
27.9%
Direct
52.7%
Referral
16.3%
Social
1.9%
Paid
1.1%

Headcount Trend

Current headcount: ~10.7K

Marketing Team

Marketing Team Size
451 (4% of company)
Median Career Experience
12 years
Median Tenure
2.4 years
Marketing Roles Posted (Last 30 Days)
12

Funding

Total Funding
$2.4B
Last Raise
$376.1M
Post IPO Equity, 1 months ago

Funding History

  • Feb 2026
    Post IPO Equity • $376.1M
  • Apr 2022
    Post IPO Equity • $621.5M
  • Feb 2020
    Series G • $479M

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