Director, Enterprise AI Enablement

About the role

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. This role is an opportunity to build something genuinely new at a company where AI is not a buzzword — it's a strategic priority.

Responsibilities

• Set Strategy, Standards & Governance
• Shape iFIT's strategy for AI tooling and governance, deciding which platforms and tools the company standardizes on and where to focus first for the biggest operational gain.
• Help set the technical standards, architecture, and patterns business teams build on, so AI use across the company is consistent, sound, and able to scale.
• Monitor the fast-moving AI market and continually assess emerging tools and techniques, so iFIT invests early in what will matter and keeps its edge.
• Co-chair the cross-functional AI Governance Committee, alongside a Legal and an IT infrastructure lead, setting the guardrails and approved-tool standards that keep AI use responsible and compliant.
• Activate AI Across the Business
• Build and lead a community of business AI leaders across the operational functions, Finance, HR, Supply Chain, Marketing, Product, and beyond, coaching and equipping them to put AI to work inside their own areas.
• Make sure every function gets the training it needs to use AI well, whether you deliver it directly, bring in outside expertise, or equip teams with materials they can share themselves.
• Enable these teams to build and sustain AI-powered work within and across their own functions, growing what the whole company can do.
• Help teams redesign how the work actually gets done around AI, moving from manual, human-driven workflows to AI-powered ways of working.
• Spread what works from one team to the next, turning wins in one function into repeatable practice across the company.
• Build Hands-On as a Player/Coach
• Work closely with teams to understand how their work flows, and advise on where AI and automation can help, whether or not you are the one who builds it.
• Roll up your sleeves and build alongside teams, taking a defined need and delivering the tools, automations, or templates to meet it, then handing them off for the teams to own and run.
• Integrate AI agents and automations into existing enterprise systems (ERP, CRM, HRIS, and the like), working alongside IT Engineering to keep solutions sound and stable.
• Keep improving what is already live: harden the automations teams depend on and refine them as needs change.
• Measure and Improve
• Track the impact of AI across the business, from efficiency and error reduction to adoption and output by team, and report it to the VP, IT and executive leadership.
• Monitor the agents and automations deployed across the company, tracking performance and output quality, watching for behavior that goes off track, and ensuring responsible use and data security.
• Turn what you learn working alongside the business into program improvements, refining the tools, training, and guardrails, and flagging the new AI capabilities iFIT should invest in or pursue next.

Qualifications

• You are an experienced, AI-forward software engineer with 6+ years in a senior or lead capacity.
• You have delivered products, integrations, and automations that produced measurable business benefits. You build sustainably, documenting how things work and training others to run and maintain them, so what you hand off keeps working without you.
• You understand why evaluating an agent for accuracy, reliability, and safety matters, and you can use evaluation tooling to confirm an agent is sound before it goes live.
• You have worked as a technical developer directly alongside business teams, giving you real business fluency: you can map how a function works, translate between the technical and business sides, and bring the acumen to earn credibility and steer toward the right outcomes.
• You have a track record as a force multiplier: leading a community of practitioners, coaching and training people to adopt new tools and ways of working, and raising the capability of an entire organization rather than delivering all the work yourself.

Preferred

• Deeper hands-on engineering with agentic systems: designing multi-agent orchestration and self-correction, standing up or extending evaluation and test harnesses, and applying standards like MCP and human-in-the-loop controls in production.
• Prior experience on an AI or technology governance body, helpful, though not required given the co-chair nature of the role.
• Experience in a consumer products, health & fitness, or direct-to-consumer e-commerce environment.
• Familiarity with enterprise platforms such as SAP, Salesforce, or Workday, and experience layering AI agents onto them.
• You have created structured training or curriculum materials that people used to onboard themselves without your direct involvement.