23 days ago
Remote, United StatesMid Level
Base Salary
$140k - $160k/yr
Responsibilities
- Own the team’s Claude Code setup, including project conventions, reusable skills, custom agents, MCP servers, and permission allowlists.
- Convert analyst workflows into documented, versioned, and safe automations with dry-run defaults, confirmation gates, audit logs, and rollback paths.
- Automate reporting refreshes, data loads, warehouse cache loading, data-quality checks, spend-delivery QA, and campaign operations.
- Build and maintain API integrations for Meta, Google Ads, Reddit, Impact.com, Search Console, and MMP postbacks, including token rotation, rate-limit handling, and schema-drift alerts.
- Manage live campaign changes such as geo holdouts, budget updates, targeting changes, and campaign-state changes with rollback snapshots and read-modify-write discipline.
- Own credential hygiene through AWS Secrets Manager and monitor token expiry so pipelines remain reliable.
- Support geo experiments, media-mix modeling, incrementality measurement, and LTV/CAC work through data plumbing, refresh automation, QA, and readout generation.
- Build standardized, executive-quality dashboards and stakeholder reporting with automated refreshes, templates, and brand styling.
- Run onboarding and office hours, support analysts with AI workflows, and track AI-tool usage, cost, adoption, and hours saved.
- Manage internal app deployments for self-serve reporting tools.
Requirements
- At least 3 years of experience in a technical marketing or data role such as marketing engineering, GTM engineering, marketing operations with real code, analytics engineering, or growth engineering.
- Strong Python and SQL experience producing production code with error handling, logging, and rollback paths.
- Production experience with at least two major ad-platform APIs, including OAuth and token lifecycle management.
- Experience running write automation against live advertising spend, including budget, targeting, and state changes, with demonstrated rollback, partial-failure recovery, and unattended-write gating.
- Daily-driver experience with agentic AI coding tools such as Claude Code or equivalent, including building skills, agents, and MCP integrations.
- Cloud fundamentals including AWS Secrets Manager, Lambda, S3, and IAM concepts, or equivalent.
- Authorized to work in the United States without sponsorship.
- Preferred experience with Snowflake, dbt, GA4/BigQuery exports, MMM, incrementality and geo testing, attribution, MCP server development, n8n, Airflow, Step Functions, Branch, AppsFlyer, Impact.com postbacks, e-commerce or DTC hardware and subscription businesses, and executive data visualization.
Benefits
- Remote in the US or hybrid in Logan, Utah.
- Access to enterprise Claude and the full enterprise AI toolchain from day one.
Categories
Data EngineeringGrowth Engineering
