Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor
The OpportunityWe are seeking an exceptional Chief of Staff for our Managing Director of AI-someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.
This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.
Key ResponsibilitiesStrategic & Executive Leadership- Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
- Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
- Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
- Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
- Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
- Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership
AI Process Design & Automated Engines- Design and build AI-powered systems that operate independently with minimal ongoing intervention-automated engines that scale beyond individual engagements
- Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
- Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
- Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
- Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
- Document patterns and best practices that can be deployed at scale
Client Service Delivery & Organizational Rollouts- Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
- Lead company-wide and client-wide AI adoption initiatives-managing stakeholder alignment, training, governance, and measurement across entire organizations
- Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
- Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
- Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
- Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI
Quality, Governance & Evaluation- Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
- Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
- Build governance frameworks that enable responsible, scalable AI adoption across organizations
- Implement monitoring systems that track performance, usage, and business impact
Stakeholder Management & Enablement- Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
- Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
- Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
- Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption
Operations & Project Management- Design and continuously improve the operating system for AI work: intake 14 triage 14 prioritization 14 delivery 14 QA 14 launch 14 measurement
- Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
- Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
- Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences
Communications & Reporting- Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
- Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
- Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights
Who You AreExperience & Skills- 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 (scope, timelines, budgets, risk, and change management)
- Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
- Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
- Proven ability to design repeatable processes and systems that scale beyond individual projects
- Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
- High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
- Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
- Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development
Mindset & Traits- Builder and operator: You design systems that work without constant oversight, not just execute tasks
- Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
- AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
- Mission-driven; systems thinker with bias for action
- Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
- Calm under pressure with excellent judgment about when to escalate vs. solve independently
- Able to hold strategic context while driving tactical execution across multiple concurrent engagements
- Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
- Comfortable operating in ambiguity and creating structure where none exists
Considerations- Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
- Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
- Travel: Regular (20-40%) for client activities, organizational rollouts, and events
- Location: Remote-friendly with preference for candidates in major tech hubs
CompensationThis role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.
Why Join Human AgencyJoin a team of thinkers and builders creating meaningful impact across sectors-with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.
