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 • Missouri • 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-powered systems and automation solutions. Proven ability to manage client engagements, ensuring successful delivery and adoption through effective change management and stakeholder alignment.

Highest-signal resume keywords

AI Transformation MethodologyPrompt EngineeringWorkflow AutomationChange ManagementClient-Facing Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM-Enabled SolutionsKnowledge Management SystemsRepeatable Processes DesignGovernance ModelsEvaluation Metrics

Soft Skills

Stakeholder AlignmentCommunication of Technical ConceptsLeadership in Multi-Stakeholder Projects

Tools & Technologies

Google WorkspaceAsanaNotionSlackNo/Low-Code Automation Platforms

Certifications & Qualifications

Bachelor's Degree or Equivalent Experience

Industry Keywords

AI CapabilitiesResponsible AIEthical PracticesClient ServicesTransformation Roles

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, offerings, repeatable frameworks, and best practices
Design and build AI-powered systems, automated engines, prompts, playbooks, knowledge bases, and low/no-code automations
Create discovery frameworks, solution architectures, evaluation routines, governance models, monitoring systems, and feedback loops
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 involving data/connectivity, tool selection, integrations, prompt engineering, and rollout planning
Design change-management approaches and partner with client leadership to sequence rollouts and demonstrate ROI
Establish quality assurance, safety/guardrail checks, UAT plans, evaluation metrics, cost tracking, and continuous improvement cycles
Lead client check-ins, executive presentations, demos, decision logs, release notes, user guides, FAQs, training programs, and governance playbooks
Manage staffing, subcontractors, budgets, scopes, 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 systems that scale beyond individual projects
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
Commitment to ethical practices and responsible AI, including transparency, human oversight, privacy, and bias mitigation
Bachelor's degree or equivalent experience
Regular travel availability of 20–40%
Remote-friendly, with 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