Chief of Staff – AI

Human Agency

. Partner with the Managing Director of AI and executive team to translate priorities into sequenced 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, including the design and implementation of AI-enabled processes and systems. Proficient in managing client engagements, stakeholder alignment, and delivering measurable outcomes while ensuring ethical practices in AI.

Highest-signal resume keywords

AI Transformation MethodologyLLM-Enabled Solutions ImplementationProject ManagementStakeholder AlignmentNo/Low-Code Automation Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringWorkflow AutomationKnowledge Management SystemsProcess DesignScalable Systems DesignRisk ManagementChange ManagementBudget ManagementQuality AssuranceEvaluation Systems

Soft Skills

CommunicationLeadershipOrganizational Change ManagementStakeholder EngagementTraining Facilitation

Tools & Technologies

Google WorkspaceAsanaNotionSlackModern AI ToolingContent Tools

Industry Keywords

AI CapabilitiesResponsible AIEthical PracticesHuman OversightBias MitigationManagement ConsultingTechnology Rollouts

About the role

Key responsibilities & impact

Partner with the Managing Director of AI and executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
Lead Human Agency's AI transformation methodology, including offerings, repeatable frameworks, and best practices
Design AI-enabled processes and build automated systems using LLMs, automation platforms, and knowledge assistants
Translate AI capabilities into business cases, use cases, implementation roadmaps, briefings, and decision memos
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
Establish evaluation, monitoring, quality assurance, governance, and feedback systems
Lead client check-ins, executive presentations, demos, decision logs, release notes, and enablement programs
Manage staffing, subcontractors, budgets, scope, vendors, delivery dashboards, risks, dependencies, and meeting cadences
Report progress, risks, and decisions to 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, 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
Regular travel availability of 20–40%
Bonus: organizational-level technology rollouts, management consulting, responsible AI considerations, or AI/ML product development experience

Benefits

Comp & perks

Performance-based bonuses
Potential equity participation
Autonomy to lead
Resources to succeed
Room to grow
Clear pathways to increased leadership responsibility