{"id":2676956,"url":"https://alion.io/job/ifit-marketing-engineer-ai-enablement-automation","title":"Marketing Engineer — AI Enablement & Automation","company":{"id":179483,"name":"iFIT","domain":"ifit.com","url":"https://alion.io/company/ifit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"IAM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AppsFlyer SDK","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"dbt","optional":true},{"name":"Google BigQuery","optional":true},{"name":"n8n","optional":true}],"status":"live","first_seen_at":"2026-08-13T19:16:35Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-31T11:48:50Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"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.\nWe 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.\niFIT 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.\nROLE COMMITMENTS\nAutomate 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.\nGive the team its hours back by measurably reducing analyst toil, with hours saved tracked and reported as a first-class KPI of this role.\nAdvance 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.\nAdvance 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.\nRaise 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.\nESSENTIAL DUTIES AND RESPONSIBILITIES\nOwn the team's Claude Code setup end-to-end including project conventions, reusable skills, custom agents, MCP servers, and permission allowlists.\nConvert 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.\nRun 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.\nEvaluate and integrate new capability safely including new MCP connectors, scheduled agents, and workflow orchestration.\nAutomate recurring pipelines including reporting refreshes, warehouse cache loaders, data-quality checks, and spend-delivery QA on live geo tests.\nBuild 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.\nOwn 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.\nOwn credential hygiene through AWS Secrets Manager with expiry alerting so a dead token never silently kills a pipeline.\nBuild and maintain stakeholder-facing reporting including exec-quality dashboards and readouts for weekly performance, plan-vs-actual, incrementality results, and media-mix outputs.\nSupport 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.\nStandardize dashboard patterns and brand styling so every team deliverable looks like it came from one team.\nDefine and encode what \"safe\" means for agentic writes to ad platforms through dry-run defaults, confirmation gates, audit logs, and rollback paths.\nManage internal app deployments for self-serve reporting tools.\nTrack usage, cost, and adoption of AI tooling across the team.\nEDUCATION & EXPERIENCE\nEducation and Basic Qualifications\nMinimum 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.\nStrong Python and SQL - production code others run, with error handling, logging, and rollback paths.\nHands-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.\nExperience 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.\nDaily-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.\nCloud fundamentals including AWS Secrets Manager, Lambda, S3, and IAM concepts, or equivalent.\nAuthorized to work in the United States without sponsorship.\nPreferred Qualifications\nSnowflake, dbt, or similar warehouse tooling; GA4/BigQuery exports.\nFamiliarity with marketing measurement including MMM, incrementality and geo testing, and attribution.\nMCP server development and workflow orchestrators such as n8n, Airflow, or Step Functions.\nMMP and affiliate plumbing including Branch, AppsFlyer, and Impact.com postbacks.\nE-commerce or DTC hardware and subscription business context.\nData-visualization craft - readouts an executive will actually read with hierarchy, annotation, and restraint.\nThe enablement gene - would rather make five people three times faster than be the hero, and can explain technical guardrails to non-engineers without condescension.\nDISCLAIMER\nCompensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status.\nAlthough we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY.\nSubject 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.\nPay Range:\n$140,000—$160,000 USD\niFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.","description_format":"text","description_chars":7606,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Fitness","Fitness Equipment"],"lifecycle":[{"event":"open","at":"2026-10-16T05:21:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 1","filings_12m":4,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":139500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.595,"p_room":0.28,"age_days":78,"expected_fill_days":36,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":true},"html_url":"https://alion.io/job/ifit-marketing-engineer-ai-enablement-automation","json_url":"https://alion.io/job/ifit-marketing-engineer-ai-enablement-automation.json","meta":{"generated_at":"2026-10-31T13:03:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20276,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":179483},"rest":"https://alion.io/mcp/rest/get_company?id=179483"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fifit-marketing-engineer-ai-enablement-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fifit-marketing-engineer-ai-enablement-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fifit-marketing-engineer-ai-enablement-automation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ifit-marketing-engineer-ai-enablement-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fifit-marketing-engineer-ai-enablement-automation"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2676956}},{"tool":"search_jobs","arguments":{"company":"ifit.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2676956},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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