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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-timeRemote

About the Job

Requirements

  • At least 5 years of experience 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, when to use AI, 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, 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.
  • Ability to operate as a builder and operator, designing systems that work without constant oversight.
  • Ability to set strategic vision while undertaking hands-on implementation.
  • Pragmatic approach to AI, focused on measurable value.
  • Ability to influence executive stakeholders and earn trust through delivery.
  • Calm judgment under pressure, including deciding when to escalate versus solve independently.
  • Ability to maintain strategic context while driving tactical execution across multiple concurrent engagements.
  • Curiosity and learning agility to stay current on AI capabilities and translate findings into practical applications.
  • Comfort operating in ambiguity and creating structure where none exists.
  • 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 Human Agency's AI transformation methodology by defining offerings, building repeatable frameworks, and establishing best practices for AI-enabled workflows.
  • Design end-to-end processes embedding AI tools, including large language models, automation platforms, and 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 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 optimized for reliability, consistency, and reusability 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 self-correcting, continuously improving systems.
  • Document patterns and best practices that can be deployed at scale.
  • Own end-to-end delivery on multiple client engagements involving AI-enabled solutions, such as knowledge assistants, workflow automations, content summarization, and 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 organizations.
  • Run 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 addressing 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, including accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles.
  • Establish prompt and playbook management, basic safety and guardrail checks, and user acceptance testing plans.
  • Build governance frameworks that enable 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 enablement materials, including user guides, FAQs, training programs, and governance playbooks, to enable client teams to operate AI systems independently.
  • Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality.
  • Present clearly to executive audiences and address 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 tools current, including Asana or Notion, Google Workspace, and Slack.
  • Track time against statements of work, flag scope changes early, manage vendors, and ensure on-budget delivery with clear documentation.
  • Establish shared dashboards for delivery health, including 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 Human Agency's AI thought leadership through documentation of best practices, case studies, and insights.

Desired Qualifications

  • Experience leading organizational-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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