Marketing Engineer — AI Enablement & Automation

Summary

iFIT is an AI-enabled health and fitness platform that integrates physical fitness, mental health, nutrition, and active recovery into an interactive experience. The Marketing Engineer will enable AI-assisted marketing engineering by owning Claude Code practices, automating reporting and campaign workflows, building advertising API integrations, and establishing safe controls for live-spend operations. The role also supports media-mix modeling, incrementality testing, dashboards, measurement pipelines, and team-wide AI adoption.

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
• Standardize dashboard patterns and brand styling so every team deliverable looks like it came from one team
• Define and encode what "safe" means for agentic writes to ad platforms through dry-run defaults, confirmation gates, audit logs, and rollback paths
• Manage internal app deployments for self-serve reporting tools
• Track usage, cost, and adoption of AI tooling across the team

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Remotely in the US or hybrid in Logan, Utah
• Access to enterprise Claude and the full enterprise toolchain from day one