
Chief of Staff β AI
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in United States, +2 more locations.
β’ Collaborate with the Managing Director of AI and the executive team to convert priorities into structured plans, resource allocations, and measurable results.
β’ Spearhead Human Agency's AI transformation methodology by outlining service offerings, constructing repeatable frameworks, and implementing best practices.
β’ Create comprehensive AI-enabled processes for both client workflows and internal operations.
β’ Convert AI capabilities into business cases, use cases, and implementation roadmaps for executive stakeholders.
β’ Prepare executive briefings, roadmaps, decision memos, meeting agendas, and presentations.
β’ Independently design and develop AI-powered systems and automated engines.
β’ Develop discovery frameworks, solution architectures, evaluation routines, governance models, prompts, playbooks, and knowledge bases.
β’ Implement lightweight automation solutions using tools like Zapier, Make, Airtable, or similar platforms.
β’ Set up monitoring systems, feedback loops, quality assurance protocols, user acceptance testing (UAT), safety checks, and continuous improvement cycles.
β’ Take charge of delivering multiple AI-enabled client projects from initial discovery to launch and ongoing adoption.
β’ Lead initiatives for AI adoption across the company and with clients, focusing on stakeholder alignment, training, governance, and performance measurement.
β’ Coordinate solution development with internal teams and external partners.
β’ Craft change-management strategies and organize rollout phases.
β’ Oversee client check-ins, executive presentations, demonstrations, decision logs, release notes, enablement materials, and training programs.
β’ Build enduring client relationships and provide clear recommendations to executive audiences.
β’ Design and enhance the operating framework for AI initiatives from intake to measurement.
β’ Manage staffing, subcontractors, budgets, project scopes, vendor relations, dashboards, risks, dependencies, and meeting schedules.
β’ Deliver timely reports to the Managing Director of AI and relevant stakeholders.
β’ Contribute to AI thought leadership through the development of best-practice documentation, case studies, and insights.
β’ 5-7+ years of experience in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery.
β’ Proven success in leading multi-stakeholder projects and organizational change initiatives from start to finish, including management of scope, timelines, budgets, risks, and change management.
β’ Hands-on experience in implementing large language model (LLM)-enabled solutions, prompt engineering, workflow automation, and knowledge management systems.
β’ Strong understanding of AI capabilities and limitations, reliability design, and responsible risk management practices.
β’ Demonstrated ability to design repeatable processes and systems that scale beyond individual projects.
β’ Familiarity with no/low-code automation platforms such as Zapier or n8n, knowledge bases, and modern AI tools.
β’ High proficiency in Google Workspace, Asana/Notion, Slack, contemporary web and content tools, and producing polished executive documents and presentations.
β’ Ability to translate complex technical concepts into clear business value for non-technical audiences.
β’ Bachelor's degree or equivalent experience.
β’ Commitment to ethical practices and responsible AI, including transparency, human oversight, privacy, and bias mitigation.
β’ Willingness to travel regularly, approximately 20β40% of the time.
β’ Remote-friendly work environment, with a preference for candidates located in major tech hubs.
β’ Performance-based bonuses.
β’ Potential for equity participation.
β’ Autonomy to take the lead.
β’ Resources available for success.
β’ Opportunities for growth.
β’ Clear pathways to increased leadership responsibilities.
β’ Remote-friendly work arrangements.
β’ Opportunities to influence the integration of AI at an organizational scale.
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