• Drive Execution and Operational Excellence • Translate the CTO’s priorities into clear, trackable initiatives. • Ensure key projects across Data Science and Engineering are progressing on time and aligned with company objectives. • Establish and manage operational cadences, including leadership meetings, roadmap reviews, KPI tracking, board and executive presentations. • Identify gaps, bottlenecks, and risks early — and proactively drive resolution. • Improve processes to increase organizational clarity, accountability, and velocity. • Cross-Functional Alignment & Follow-Through • Ensure Product, Engineering, Data Science, and Business teams are aligned on priorities and tradeoffs. • Drive alignment on technical priorities, hiring plans, and strategic initiatives. • Track cross-functional dependencies and prevent misalignment. • Ensure effective follow-up and accountability from cross-functional meetings. • Provide Strategic & Analytical Support • Synthesize inputs from across teams to support technical and strategic decision-making. • Develop data-driven insights to inform roadmap, investment, and resource allocation decisions. • Prepare high-quality executive materials for leadership discussions and board meetings. • Support long-term planning for the technology organization, including org design and capacity planning.

• Act as a right-hand partner to the President, helping prioritize time, decisions, and initiatives • Own follow-ups, execution, and accountability on cross-functional priorities • Prepare briefings, summaries, and decision memos • Sit in on key meetings and ensure outcomes are documented and executed • Anticipate issues before they surface and proactively propose solutions • Serve as a point of coordination across leadership, vendors, and partners • Own HR operations end-to-end • Oversee day-to-day internal operations to ensure the company runs smoothly • Manage the President’s calendar, travel, communications, and logistics • Handle sensitive and confidential matters with discretion

• In the current phase you will support the platform and the existing solution so that we can reach the next stage together. • Help us make JYMMiN a partner for major brands in the rehabilitation and fitness sectors! • You will work with the team, partners, investors and musicians around the world to revise existing solutions and bring them to market.

Role Description We 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 Responsibilities - Strategic & 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 → triage → prioritization → delivery → QA → launch → 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 Qualifications - 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 Compensation This 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 Agency Join 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. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.