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 • Minnesota • United States, CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI transformation initiatives, designing scalable automated systems, and managing client engagements from discovery to adoption. Proficient in translating AI capabilities into actionable business strategies while ensuring ethical practices and stakeholder alignment.

Highest-signal resume keywords

AI Transformation MethodologyLLM-Enabled Solutions ImplementationChange ManagementStakeholder AlignmentWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ManagementPrompt EngineeringKnowledge Management SystemsRisk ManagementProcess DesignAI Capabilities UnderstandingBudget ManagementQuality AssuranceData ConnectivityAutomation Frameworks

Soft Skills

LeadershipCommunicationCollaborationPresentation SkillsTraining

Tools & Technologies

Google WorkspaceAsanaNotionSlackNo/Low-Code Automation Platforms

Industry Keywords

Client ServicesOperationsStrategic SupportConsultingEthical AI Practices

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 workflows and build scalable automated systems using LLMs, automation platforms, and knowledge assistants
Translate AI capabilities into business cases, use cases, implementation roadmaps, executive briefings, decision memos, and presentations
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 evaluation, quality assurance, safety, governance, monitoring, and continuous-improvement systems
Lead client check-ins, executive presentations, demos, decision logs, release notes, and enablement materials
Manage staffing, subcontractors, budgets, scopes, vendors, delivery dashboards, risks, dependencies, and meeting cadences
Provide timely reporting 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, 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
Regular travel 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