Remote AI Transformation Lead

Arcadia; United States; Remote; USD 128,000 - 228,000; Full time

Benefits offered by this job

Remote-first culture (US)

Flexible PTO

11 holidays

Sick leave

Bereavement leave

Parental leave

Medical benefits

Job summary

Arcadia is seeking an AI Operations Lead to own the AI transformation roadmap across product, engineering, go-to-market, finance, and operations. You will define Claude skills, agents, and workflows, partnering with engineering to deliver scalable AI-enabled processes and establish patterns and a champion network.

You’ll drive adoption, measure time saved, and ensure sustainability of workflows with governance and human-in-the-loop standards, enabling teams to scale AI capabilities across the

Qualifications

• 5–8 years of product management, workflow, or process-design experience.
• Ability to map current-state workflows and identify high-leverage AI opportunities.
• Fluency in translating business problems into clear engineering requirements.
• Experience building consensus across diverse teams.

Responsibilities

• Embed teams to map end-to-end workflows and identify AI opportunities.
• Own the product definition for Claude skills and workflows and guide engineering.
• Grow the champion network and enable ongoing maintenance of workflows.
• Codify reusable patterns and templates for future teams.
• Ensure builds remain safe and compliant with governance.
• Measure adoption, time saved, and impact to scale successful workflows.

Skills

Product management

Workflow design

Process design

Requirements writing

Stakeholder management

Job description

Arcadia is seeking an AI Operations Lead to own the AI transformation roadmap across product, engineering, go-to-market, finance, and operations. You will define Claude skills, agents, and workflows, partnering with engineering to deliver scalable AI-enabled processes and establish patterns and a champion network.

You’ll drive adoption, measure time saved, and ensure sustainability of workflows with governance and human-in-the-loop standards, enabling teams to scale AI capabilities across the