Director of AI, Operations

Commitments

• 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
• Lead and multiply by coordinating 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
• 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

What You Bring

• 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
• Write code at a working level. Python, JavaScript, or a similar language
• Release enterprise-ready applications at scale, with an understanding of how to work within IT governance, security requirements, and global deployment standards
• Work with IT and Data Engineering teams as a peer, not a requester. Speak their language and they trust your judgment
• Coordinate or mentor a distributed group of technical contributors and make them collectively more capable
• Brought external knowledge into an organization and changed how people think about what is possible with AI
• Communicate clearly and directly. Explain what you built and why it matters to a COO who has never written a line of code

PREFERRED BACKGROUND

• Degree or equivalent experience in Computer Science, Engineering, Operations, Supply Chain, or a related field
• Hands-on experience building with LLMs, AI agents, multi-agent frameworks, or production-grade AI systems
• Familiarity with API integrations and the ability to connect enterprise systems that were not designed to talk to each other
• Experience in or adjacent to a startup environment where shipping fast and owning outcomes was the expectation, not the exception
• Track record of working across functions and earning trust with business leaders who are skeptical of technology for its own sake
• Experience coordinating dotted-line teams, cross-functional working groups, or distributed SME networks
• Demonstrated ability to raise the technical capability of non-technical stakeholders through enablement, not just presentation

What Success Looks Like

• In your first 90 days: Completed a full AI opportunity audit across all Operations functions and produced a prioritized roadmap; shipped at least one working AI agent or tool that is in active use inside an Operations function; established working relationships with IT, Data Engineering, and the dotted-line AI SME network; Operations leaders are asking for your help and bringing you into their planning conversations
• By the end of year one: Multiple AI agents and workflows are deployed across Operations functions with measurable reductions in manual effort, error rates, or cycle time; the Operations leadership team has meaningfully higher AI fluency than when you arrived, demonstrated by how they talk about and use AI in their own functions; the dotted-line AI SME network is active, coordinated, and producing results across functions; iFIT has a documented, rolling AI roadmap for Operations that the COO can present to the executive team with confidence; the business case for a formal AI team within Operations has been built and is being acted on

Disclaimer

Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status. Although 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. 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.