Marketing Engineer - AI Enablement & Automation

Responsibilities

• Own the team's Claude Code setup end-to-end including project conventions, reusable skills, custom agents, MCP servers, and permission allowlists.
• Convert one-off analyst workflows into shared, documented, versioned skills with dry-run defaults and confirm gates on anything that writes to a live ad account.
• Run onboarding and office hours, pair with analysts to level up prompting, tool-building, and review habits, and be the go-to person for anyone stuck on an AI workflow.
• Evaluate and integrate new capability safely including new MCP connectors, scheduled agents, and workflow orchestration.
• Automate recurring pipelines including reporting refreshes, warehouse cache loaders, data-quality checks, and spend-delivery QA on live geo tests.
• Build and maintain API integrations across the ad stack including Meta, Google Ads, Reddit, Impact.com, Search Console, and MMP postbacks — including token rotation and expiry monitoring, rate limits, and schema-drift alerts.
• Own campaign-ops automation with full write authority including geo holdout apply and teardown with rollback snapshots, budget changes normalized against original baselines, and read-modify-write discipline on targeting objects.
• Own credential hygiene through AWS Secrets Manager with expiry alerting so a dead token never silently kills a pipeline.
• Build and maintain stakeholder-facing reporting including exec-quality dashboards and readouts for weekly performance, plan-vs-actual, incrementality results, and media-mix outputs.
• Support measurement work including geo experiments, MMM, and LTV/CAC on the engineering side — data plumbing, refresh automation, QA, and readout generation — while analysts own the methodology.

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