AI Enablement Lead

<div class="content-intro"><p><span style="font-size: 10pt;">Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster. </span><br><br><span style="font-size: 10pt;">Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed.</span><br><br><span style="font-size: 10pt;">We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact.&nbsp; See Arkestro in action at<a href="http://arkestro.com/"> </a><a href="http://arkestro.com">arkestro.com</a>.</span></p></div><h2>About This Role</h2> <p>We are looking for an AI Enablement Lead to lead AI adoption across every department at Arkestro. You will run the Arkestro AI Center of Excellence (AI CoE) day to day, build with the dedicated department positions, coach a cross functional champions network, and fan every win out to everyone through the centralized system. Your charter is universal adoption with measured business value behind it. This is an influence role, not a control role: you build with the dedicated few, champions spread it, and everyone wins. Build once at the center; land it in every function.&nbsp;</p> <h2><strong>Responsibilities</strong></h2> <ul> <li>Own company wide AI adoption end to end: awareness, training, activation, and measured business value in every department</li> <li>Run the AI Center of Excellence operating cadence: champions network, office hours, intake, prioritization, and the adoption scoreboard</li> <li>Recruit, coach, and support at least one champion in every department, with protected time, and grow the bench behind them</li> <li>Run cross functional AI pods: pair yourself or an AI proficient engineer with a department subject matter expert in a ten day sprint that ships a measured before and after result</li> <li>Train through the layers: an AI fluency foundation for everyone, deeper training for dedicated positions and champions, so each layer lifts the next</li> <li>Own the shared skills library and its distribution pipeline with Engineering: build once, publish once, and every channel receives it</li> <li>Instrument adoption and outcomes: workflows c