AI Enablement Lead
arkestroinc • Remote
No Relocation
Posted: September 2, 2026
Job Description
About This Role
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.
Responsibilities
- Own company wide AI adoption end to end: awareness, training, activation, and measured business value in every department
- Run the AI Center of Excellence operating cadence: champions network, office hours, intake, prioritization, and the adoption scoreboard
- Recruit, coach, and support at least one champion in every department, with protected time, and grow the bench behind them
- 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
- Train through the layers: an AI fluency foundation for everyone, deeper training for dedicated positions and champions, so each layer lifts the next
- Own the shared skills library and its distribution pipeline with Engineering: build once, publish once, and every channel receives it
- Instrument adoption and outcomes: workflows converted, hours returned, and dollar impact; report monthly to executive staff
- Manage the AI tooling portfolio and spend against budget caps; evaluate vendors and retire tools that do not earn their keep
- Publish wins with numbers in shared channels; every showcased win recruits the next builder
Preferred Qualifications
- 5+ years in engineering, operations, or enablement roles:
- including 2+ years leading adoption of a platform or practice across an organization
- Including 1+ year in the last 2 years directly building, leading, influencing AI at the company level
- Hands on builder: you script, call APIs, and wire automations yourself, and you have shipped AI workflows that other people now depend on
- Proven training and facilitation skill: you have taught both technical and non technical audiences and can show the adoption curve that followed
- Relentless resourcefulness with AI: where others clean one spreadsheet, you build the pipeline that cleans every tracker before the team wakes up
- High empathy operator: you thrive dropping into any department, learning its workflow, and earning trust fast
- Evidence of measured outcomes: you can point to before and after numbers you produced, not just activities you ran
Bonus Qualifications
- Forward deployed engineering experience at an AI lab, consultancy, or product company
- Procurement, supply chain, or B2B SaaS domain experience
- Familiarity with AI governance frameworks such as ISO 42001, the NIST AI RMF, and SOC 2
- Experience standing up a center of excellence or a champions program
Additional Content
About This Role
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.
Responsibilities
- Own company wide AI adoption end to end: awareness, training, activation, and measured business value in every department
- Run the AI Center of Excellence operating cadence: champions network, office hours, intake, prioritization, and the adoption scoreboard
- Recruit, coach, and support at least one champion in every department, with protected time, and grow the bench behind them
- 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
- Train through the layers: an AI fluency foundation for everyone, deeper training for dedicated positions and champions, so each layer lifts the next
- Own the shared skills library and its distribution pipeline with Engineering: build once, publish once, and every channel receives it
- Instrument adoption and outcomes: workflows converted, hours returned, and dollar impact; report monthly to executive staff
- Manage the AI tooling portfolio and spend against budget caps; evaluate vendors and retire tools that do not earn their keep
- Publish wins with numbers in shared channels; every showcased win recruits the next builder
Preferred Qualifications
- 5+ years in engineering, operations, or enablement roles:
- including 2+ years leading adoption of a platform or practice across an organization
- Including 1+ year in the last 2 years directly building, leading, influencing AI at the company level
- Hands on builder: you script, call APIs, and wire automations yourself, and you have shipped AI workflows that other people now depend on
- Proven training and facilitation skill: you have taught both technical and non technical audiences and can show the adoption curve that followed
- Relentless resourcefulness with AI: where others clean one spreadsheet, you build the pipeline that cleans every tracker before the team wakes up
- High empathy operator: you thrive dropping into any department, learning its workflow, and earning trust fast
- Evidence of measured outcomes: you can point to before and after numbers you produced, not just activities you ran
Bonus Qualifications
- Forward deployed engineering experience at an AI lab, consultancy, or product company
- Procurement, supply chain, or B2B SaaS domain experience
- Familiarity with AI governance frameworks such as ISO 42001, the NIST AI RMF, and SOC 2
- Experience standing up a center of excellence or a champions program