Marketing Engineer – AI Enablement, Automation

iFIT

Marketing Engineer automating AI-enabled analytics and campaign operations for iFIT’s holistic health and fitness platform. Building safe ad-platform integrations, measurement pipelines, media-mix models, and executive dashboards.

Posted 8/13/2026full-timeLogan • Alabama, Alaska, Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin, Wyoming • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in automating marketing operations and data workflows, with strong capabilities in Python and SQL for production-level coding. Proficient in managing ad-platform API integrations and cloud technologies, ensuring robust reporting and analytics.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAd-Platform API IntegrationCloud FundamentalsAgentic AI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Code Error HandlingRollback PathsIncrementality TestingMedia-Mix ModelingAutomated ReportingWorkflow OrchestrationToken Lifecycle ManagementBudget AutomationData ValidationPerformance Reporting

Soft Skills

Analytical ThinkingCollaborationProblem SolvingCommunication

Tools & Technologies

AWS Secrets ManagerAWS LambdaAWS S3MCP IntegrationsClaude Code

Industry Keywords

Technical MarketingMarketing OperationsAnalytics EngineeringGrowth EngineeringGTM Engineering

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Automate recurring reporting, data-load, spend-QA, and campaign-operations workflows with guardrails and rollback paths
Reduce analyst toil and track hours saved as a role KPI
Develop a versioned, validated media-mix model with automated refreshes, sensitivity checks, and experiment calibration
Industrialize incrementality testing through geo-experiment tooling, always-on test pipelines, and clean readouts
Build standardized executive dashboards with templates, brand styling, automated refresh, and self-service access
Own Claude Code conventions, reusable skills, custom agents, MCP servers, and permission allowlists
Convert analyst workflows into documented, versioned skills with dry-run defaults and confirmation gates
Run onboarding and office hours and support analysts with AI workflows
Evaluate and safely integrate MCP connectors, scheduled agents, and workflow orchestration
Build and maintain ad-platform API integrations, including token rotation, rate-limit handling, and schema-drift alerts
Own campaign-operations automation affecting budgets, targeting, and campaign state on live ad spend
Manage AWS Secrets Manager credential hygiene and expiry alerting
Produce stakeholder-facing weekly performance, plan-versus-actual, incrementality, and media-mix reporting
Support engineering work for geo experiments, MMM, and LTV/CAC measurement
Standardize dashboard patterns and brand styling
Define safety controls for agentic writes, including dry runs, confirmation gates, audit logs, and rollback paths
Manage internal app deployments for self-service reporting tools
Track AI-tool usage, cost, and adoption

Requirements

What you’ll need

Minimum 3 years 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, including production code with error handling, logging, and rollback paths
Hands-on production experience with at least two major ad-platform APIs, including OAuth and token lifecycle management
Experience running write automation against live spend for budget, targeting, and state changes via API
Concrete examples of rollback recovery, partial-failure recovery, and gating unattended writes
Daily-driver experience with agentic AI coding tools such as Claude Code or equivalent; experience 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

Benefits

Comp & perks

Enterprise Claude and the full enterprise toolchain from day one
Remote work option in the US or hybrid work option in Logan, Utah
Compensation range of $140,000–$160,000 USD
At-will employment, subject to applicable state laws