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Human Agency

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 • United States, CanadaLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading AI transformation initiatives, designing AI-enabled processes, and managing client engagements from discovery to adoption. Proficient in developing frameworks, best practices, and executive materials that translate AI capabilities into business value.

Highest-signal resume keywords
AI Transformation MethodologyLLM-Enabled Solutions ImplementationChange ManagementStakeholder AlignmentProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Prompt EngineeringWorkflow AutomationKnowledge Management SystemsProcess DesignScalable Systems Development
Soft Skills
Multi-Stakeholder Project LeadershipOrganizational Change Initiative ManagementClear Communication of Technical Concepts
Tools & Technologies
Google WorkspaceAsanaNotionSlackNo/Low-Code Automation Platforms
Industry Keywords
AI CapabilitiesEthical AI PracticesClient ServicesTransformation RolesExecutive Presentations

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 and develop repeatable frameworks and best practices
  • Design AI-enabled processes and automated systems using LLMs, automation platforms, and knowledge assistants
  • Translate AI capabilities into business cases, use cases, implementation roadmaps, and executive materials
  • 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
  • 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, monitoring, governance, safety, and feedback systems
  • Lead client check-ins, executive presentations, demos, decision logs, release notes, and enablement programs
  • Manage staffing, subcontractors, budgets, scopes, vendors, delivery dashboards, risks, and dependencies
  • 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, limitations, reliability, and responsible risk management
  • Proven ability to design repeatable processes and scalable systems
  • Experience with no/low-code automation platforms, knowledge bases, and modern AI tooling
  • High proficiency with Google Workspace, Asana/Notion, Slack, and modern web and content tools
  • Experience preparing 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, 20–40%
  • Preference for candidates in major tech hubs

Benefits

Comp & perks
  • Performance-based bonuses
  • Potential equity participation
  • Autonomy to lead
  • Resources to succeed
  • Room to grow
  • Clear pathways to increased leadership responsibility
  • Remote-friendly work arrangement