Chief of Staff – AI

Human Agency

. Partner with the Managing Director of AI and executive team to translate priorities into plans, resourcing, and measurable outcomes .

Posted 10/30/2026full-timeRemote • Arizona • United States, CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI transformation initiatives, implementing no/low-code automation, and managing client engagements from discovery to adoption. Proficient in designing scalable systems and processes while ensuring ethical practices in AI deployment.

Highest-signal resume keywords

AI Transformation MethodologyNo/Low-Code AutomationPrompt EngineeringStakeholder AlignmentChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ManagementWorkflow AutomationKnowledge Management SystemsRisk ManagementProcess DesignAI Capabilities UnderstandingMulti-Stakeholder Project LeadershipBudget ManagementScope DefinitionSuccess Metrics Assessment

Soft Skills

CommunicationCollaborationTrainingExecutive PresentationDecision-Making

Tools & Technologies

ZapierMakeAirtableGoogle WorkspaceAsanaNotionSlackModern AI ToolingKnowledge BasesUAT Processes

Industry Keywords

Responsible AIEthical PracticesOrganizational Change InitiativesAI/ML Product DevelopmentTechnology Rollouts

About the role

Key responsibilities & impact

Partner with the Managing Director of AI and executive team to translate priorities into plans, resourcing, and measurable outcomes
Lead Human Agency's AI transformation methodology, offerings, repeatable frameworks, and best practices
Design and build AI-enabled processes, automated engines, prompts, playbooks, knowledge bases, and scalable systems
Implement no/low-code automation using tools such as Zapier, Make, and Airtable
Own end-to-end delivery of multiple client AI engagements from discovery through launch and sustained adoption
Lead company-wide and client-wide AI adoption initiatives, including stakeholder alignment, training, governance, and measurement
Conduct discovery, define use cases and success metrics, assess risks and technical requirements, and create scopes, timelines, and acceptance criteria
Coordinate solution build-outs, integrations, prompt engineering, tool selection, and rollout planning
Design change-management approaches and partner with client leadership to sequence rollouts and demonstrate ROI
Establish evaluation, quality assurance, governance, monitoring, safety, guardrail, and UAT processes
Lead client check-ins, executive presentations, demos, decision logs, release notes, and recommendations
Create user guides, FAQs, training programs, and governance playbooks
Design and improve the AI work operating system from intake through measurement
Manage staffing, subcontractors, budgets, scopes, vendors, dashboards, risks, dependencies, and meeting cadences
Prepare executive briefings and reports for the Managing Director of AI and stakeholders
Contribute to AI thought leadership through best-practice documentation, case studies, and insights

Requirements

What you’ll need

5–7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end, including scope, timelines, budgets, risk, and change management
Hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems
Strong understanding of AI capabilities and limitations, reliability design, and responsible risk management
Proven ability to design repeatable processes and scalable systems
Experience with no/low-code automation platforms such as Zapier or n8n, knowledge bases, and modern AI tooling
High proficiency with Google Workspace, Asana/Notion, Slack, modern web and content tools, and polished executive documents and presentations
Ability to translate complex technical concepts into clear business value for non-technical audiences
Bachelor's degree or equivalent experience
Commitment to ethical practices and responsible AI, including transparency, human oversight, privacy, and bias mitigation
Willingness to travel regularly, approximately 20–40%
Bonus experience: organizational-level technology rollouts, management consulting, responsible AI, or AI/ML product development

Benefits

Comp & perks

Performance-based bonuses
Potential equity participation
Autonomy to lead
Resources to succeed
Room to grow
Clear pathways to increased leadership responsibility
Regular travel opportunities for client activities, organizational rollouts, and events