AI Automation Engineer

Forward-Deployed AI Automation EngineerNfinity Athletic builds the gear, events, and technology that power modern cheerleading. We run a high-volume business across e-commerce, events, and team sales, with Salesforce and Shopify at the center.We are a culture-first company. That does not mean soft. It means we care how people show up: reliable, direct, high ownership, and aligned. If you want politics, ambiguity, or a slow pace, this is not the place.The RoleWe are hiring a forward-deployed AI automation engineer to embed in the business and build working systems that move revenue. This is not a research job. This is not a prompt-only job. You will connect our tools, ship automations weekly, and build agent-style workflows that take real actions with guardrails.You will work across Sales, E-commerce, Events, Customer Support, and internal ops. Your output is measured in shipped workflows and measurable lifts, not activity.What You Will OwnAI + Automation across the ecosystemIdentify the highest ROI workflows to automate across Sales, E-comm, Events, Support, Ops.Build agent-style workflows that can take actions (create/update records, trigger sequences, route conversations) with logging and audit trails.Revenue engine (Salesforce + Shopify)Lead-to-order automation, lifecycle tagging, attribution, and follow-up discipline.Speed-to-lead improvements, pipeline hygiene enforcement, and conversion lift.Chat-based sellingImplement chat flows that qualify intent, recommend next best action, recover carts, and route high-intent conversations to humans with full context.Ensure chats and outcomes are captured in Salesforce, cleanly and consistently.Operational leverage + reliabilityMonitoring, error handling, retries, and clean logs. You build things that survive production.Reduce manual work by replacing "tribal process" with systems.Partner execution controlKeep outsourced e-comm partners on a tight backlog, clear acceptance criteria, QA, and weekly releases. You don't manage people, you manage output.What Success Looks LikeFirst 30 daysMap the top 10 workflows worth automating. Ship 2 production automations with logging and rollback plan.By 60 daysChat-to-lead and chat-to-order workflows live with tracking. Weekly release cadence established. Baseline metrics defined.By 90 days6 to 10 workflows shipped. Measurable lift in at least one: conversion rate, cart recovery, speed-to-lead, show rate, AOV, or manual hours eliminated.Who We WantYou are a builder who ships, not a talker who demos.Required3 to 7 years in Business Systems, RevOps automation, Salesforce automation, or e-commerce ops with heavy automation ownership.Strong Salesforce: objects, flows, permissions, reporting.Strong Shopify: customer/order data, tags, Shopify Flow, app ecosystem.Integrations: APIs/webhooks, auth, data mapping, logging, retries, idempotency basics.Can write lightweight code (Python or JavaScript/TypeScript) to get real work done.Strong signalsYou can explain what broke after launch and how you made it reliable.You measure impact and can tie your work to revenue or hours saved.You are comfortable in a fast, direct culture where outcomes matter.Not a Fit IfYou want to do research, not implementation.You avoid accountability, deadlines, or direct feedback.You need a lot of management to stay on track.You cannot show systems you personally shipped into production.Hiring ProcessFinalists complete a short paid practical that mirrors real work: design and implement a chat-to-Salesforce/Shopify workflow with logging, guardrails, and error handling. We care more about what you shipped than your pedigree.