Director of AI, Operations
Listed on 2026-07-08
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Engineering
AI Engineer (Applied/Software), AI Business & Operations, Operations Management
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.
Directorof AI, Operations
iFIT is creating a new role at the intersection of AI innovation and enterprise operations. The Director of AI, Operations is not a consultant, a project manager, or a theorist. This is a builder and a multiplier. You will design and deploy AI agents, tools, and workflows that make every function inside Operations meaningfully more capable and then you will raise the AI fluency of the entire Operations leadership team so the gains compound.
This role sits at the Director level and reports directly to the COO. You will work across every Operations function including S&OP, Member Care, Quality, Procurement, Logistics, and Customs. You will partner directly with IT and Data Engineering to release enterprise‑ready solutions, coordinate a dotted‑line network of AI SMEs embedded across Operations functions, and serve as iFIT's internal AI authority for everything Operations touches.
We are not looking for someone who has spent a career inside a large, slow‑moving company. We want someone who has built things under pressure, created them, and done it again. If you have startup DNA and enterprise awareness, this role was written for you.
Commitments Build and Deploy- Design, build, and deploy AI agents and AI‑powered tools that solve real operational problems across S&OP, Member Care, Quality, Procurement, Logistics, and Customs
- Develop enterprise‑ready applications that can be released globally, built to IT and Data Engineering standards from day one
- Partner with IT and Data Engineering teams to integrate solutions into existing enterprise systems including ERP and CRM platforms
- Audit current workflows across all Operations functions to identify the highest‑value opportunities for AI and intelligent automation
- Evaluate the AI tool landscape and bring a clear, defensible point of view on what iFIT should build, buy, or avoid
- Coordinate a dotted‑line network of AI SMEs embedded across Operations functions, acting as their mentor, escalation point, and connective tissue
- Raise the AI skills of the entire Operations leadership team through hands‑on enablement, not just training decks
- Build a culture of AI curiosity and applied experimentation across Operations so this work outlasts any single project
- Serve as the internal AI authority for Operations, representing the function in cross‑company AI strategy conversations
- Document processes before and after implementation so every gain is measurable and defensible to the COO and executive team
- Translate complex technical solutions into plain language that operations leaders and frontline managers can act on
- Produce a rolling AI roadmap for Operations that gives leadership visibility into what is in progress, what is next, and what has shipped
We are not prescribing a specific number of years of experience. We are looking for demonstrated outcomes. The right candidate can show us something they built, explain the problem it solved, and tell us what happened next.
You are the right fit if you can say yes to all of these:- You have built and shipped AI agents or AI‑powered applications that are currently in use in a real environment, not a proof of concept sitting in a repo
- You write code at a working level. Python, JavaScript, or a similar language. You build from scratch when you need to and you know when not to
- You have released enterprise‑ready applications at scale, with an understanding of how to work within IT governance, security requirements, and global deployment standards
- You know how to work with IT and Data Engineering teams as a peer, not a requester. You speak their language and they trust your judgment
- You have coordinated or mentored a distributed group of technical contributors and made them…
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