Marketing Engineer — AI Enablement & Automation
$140,000–$160,000 year
HybridNew York, United States or Logan, Utah, United States
Job Summary
Own the team's Claude Code setup end-to-end, converting one-off analyst workflows into shared, documented skills with dry-run defaults and confirmation gates for live ad account writes. Automate recurring pipelines including reporting refreshes, warehouse cache loaders, data-quality checks, and spend-delivery QA on live geo tests while managing API integrations across Meta, Google Ads, and other platforms. Build and maintain stakeholder-facing reporting with standardized, exec-quality dashboards and support measurement work for geo experiments and media-mix outputs. Define safety protocols for agentic writes through audit logs and rollback paths, track AI tooling adoption, and lead onboarding to level up prompting and tool-building habits.
Required Qualifications
- Minimum 3 years in a technical marketing or data role such as marketing engineering, GTM engineering, marketing ops with real code, analytics engineering, or growth engineering
- Strong Python and SQL — production code others run, with error handling, logging, and rollback paths
- Hands-on production experience with at least two major ad-platform APIs including Meta, Google Ads, TikTok, Reddit, or Impact.com, including OAuth and token lifecycle management
- Experience running write automation against live spend including budget, targeting, and state changes via API, with concrete examples of a rollback needed, a partial failure recovered from, and how unattended writes are gated
- Daily-driver experience with agentic AI coding tools such as Claude Code or equivalent — has built skills, agents, and MCP integrations, not just chatted with a model
- Cloud fundamentals including AWS Secrets Manager, Lambda, S3, and IAM concepts, or equivalent
- Authorized to work in the United States without sponsorship
Desired Qualifications
- Snowflake, dbt, or similar warehouse tooling; GA4/BigQuery exports
- Familiarity with marketing measurement including MMM, incrementality and geo testing, and attribution
- MCP server development and workflow orchestrators such as n8n, Airflow, or Step Functions
- MMP and affiliate plumbing including Branch, AppsFlyer, and Impact.com postbacks
- E-commerce or DTC hardware and subscription business context
- Data-visualization craft — readouts an executive will actually read with hierarchy, annotation, and restraint
- The enablement gene — would rather make five people three times faster than be the hero, and can explain technical guardrails to non-engineers without condescension
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