Marketing Engineer — AI Enablement & Automation

iFIT

3h • $140,000 - $160,000 • Hybrid

About The Position

iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.
We are currently seeking an ambitious pace-setter to join our team as a Marketing Engineer - AI Enablement & Automation, remotely in the US or hybrid in Logan, Utah.
iFIT is an AI-enabled organization — AI-assisted work is the default here, not an experiment — and this role has access to enterprise Claude and the full enterprise toolchain from day one. Our marketing team already runs on AI-assisted engineering: Claude Code drives reporting pipelines, incrementality testing, media-mix modeling, and campaign operations against a production stack including Snowflake, GA4, SAP, ad-platform APIs, and AWS. We are hiring the person who turns that momentum into a system. This is first an enablement-and-automation role — you will own how the team uses AI tooling: conventions, guardrails, shared skills and agents, credential hygiene, and the automation that removes humans from loops they don't need to be in. This role carries write authority over live ad accounts — your automations will change budgets, targeting, and campaign state on real spend, end to end.

Requirements

• 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.

Responsibilities

• Automate core processes by taking recurring workflows — reporting refreshes, data loads, spend QA, and campaign operations — from manual to hands-off, with guardrails and rollback paths that make unattended automation safe on live spend.
• Give the team its hours back by measurably reducing analyst toil, with hours saved tracked and reported as a first-class KPI of this role.
• Advance our media-mix model by hardening it into a versioned, validated product with out-of-sample validation as standard practice, refresh automation, prior and sensitivity checks, and calibration of response curves against experiment readouts.
• Advance testing and channel allocation by industrializing incrementality testing — geo-experiment tooling, always-on test pipelines, and clean readouts — so budget-allocation decisions across channels are gated on measured lift, not platform-reported numbers.
• Raise the dashboarding bar by shipping a standardized, exec-quality dashboard system with templates, brand styling, and automated refresh so every team deliverable is self-serve, current, and something leadership actually opens.

Benefits

• Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status.
• Subject to applicable state laws, your employment at iFIT is "at-will". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed