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Human Agency

Full-service creative agency delivering AI-driven services

Chief of Staff to the Managing Director of AI

Business OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 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 large language model-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; ability to shape prompts and playbooks, evaluate quality, and choose appropriate tools or vendors.
  • Strong understanding of AI capabilities and limitations, how to design for reliability, and how to manage risks responsibly.
  • Experience designing repeatable processes and systems that scale beyond individual projects.
  • Experience with no-code or low-code automation platforms, knowledge bases, and modern AI tooling.
  • High proficiency with Google Workspace, Asana or Notion, and Slack, and comfort with 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.
  • A bachelor's degree or equivalent experience.
  • Commitment to ethical practices and responsible AI, including transparency, human oversight, privacy, and bias mitigation.

Responsibilities

  • Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes.
  • Lead the AI transformation methodology by defining offerings, building repeatable frameworks, and establishing best practices for AI-enabled workflows.
  • Design end-to-end processes that embed AI tools, including large language models, automation platforms, and knowledge assistants, into client workflows and internal operations.
  • Translate complex AI capabilities into business cases, use cases, and implementation roadmaps for executive audiences.
  • Produce executive materials, including briefings, roadmaps, and decision memos, that drive alignment and decisions.
  • Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership.
  • Design and build AI-powered systems that operate independently with minimal ongoing intervention and scale beyond individual engagements.
  • Create repeatable AI implementation processes, including discovery frameworks, solution architectures, evaluation routines, and governance models.
  • Design prompts, playbooks, and knowledge bases for reliability, consistency, and reuse across multiple clients.
  • Implement lightweight automation using no-code or low-code tools such as Zapier, Make, and Airtable, integrated with AI capabilities.
  • Establish monitoring and feedback loops that enable systems to self-correct and improve continuously.
  • Document patterns and best practices for deployment at scale.
  • Own end-to-end delivery of multiple client engagements involving AI-enabled solutions, from discovery through launch and sustained adoption.
  • Lead company-wide and client-wide AI adoption initiatives, managing stakeholder alignment, training, governance, and measurement across organizations.
  • Conduct discovery to identify use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and acceptance criteria.
  • Coordinate solution build-outs with internal teammates and external partners, including data and 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 return on investment.
  • Set evaluation routines covering accuracy metrics, latency benchmarks, cost tracking, quality assurance, and continuous improvement.
  • Establish prompt and playbook management, basic safety and guardrail checks, and user acceptance testing plans.
  • Build governance frameworks for responsible, scalable AI adoption across organizations.
  • Implement monitoring systems that track performance, usage, and business impact.
  • Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations.
  • Create user guides, FAQs, training programs, and governance playbooks that enable 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, addressing concerns about accuracy, security, and adoption.
  • Design and continuously improve the operating system for AI work, from intake and triage through prioritization, delivery, quality assurance, launch, and measurement.
  • Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep Asana or Notion, Google Workspace, and Slack current.
  • Track time against statements of work, flag scope changes early, manage vendors, and ensure on-budget delivery with clear documentation.
  • Establish shared delivery-health dashboards covering timeline, risk, burn, and dependency status, and run meeting cadences.
  • Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights.
  • Provide timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions.
  • Contribute to AI thought leadership by documenting best practices, case studies, and insights.

Desired Qualifications

  • Experience leading organization-level technology rollouts.
  • Background in management consulting.
  • Familiarity with responsible AI considerations, including privacy, data handling, consent, and bias mitigation.
  • Experience in AI or machine-learning product development.
  • An advanced degree in business, technology, or a related field.

About the Company

Human Agency

Full-service creative agency delivering AI-driven services

Human Agency is a full-service creative agency that combines marketing, technology, and business operations to help a range of clients—from startups to large corporations—achieve their goals. The company uses AI to boost human potential, enhancing marketing, product development, and operational effectiveness. It works by offering customized services such as web and mobile development, marketing campaigns, and business consulting, and also participates in venture investments by funding and supporting founders who are changing the world. Unlike firms that focus on a single discipline, Human Agency provides a holistic suite of services and revenue streams: service fees for projects and ongoing engagements, plus returns from its investments in startups. The company’s goal is to help clients grow and compete more effectively by integrating AI-enabled solutions with practical business strategies, while also backing entrepreneurs who aim to create meaningful impact.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
St. Louis, MO
Founded
2018

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