Business Operations
Running the business day-to-day, corporate strategy, and non-technical programme management. Covers business operations/BizOps, strategy & operations, chief of staff, non-technical programme/project management, business analysis (operational), workplace/office management, facilities, procurement, supply chain, construction, data center physical operations, manufacturing operations management, health/safety/environment (HSE/EHS), on-campus hospitality services, and executive support. This is for roles that keep the organisation running — NOT for technical roles that happen to have "operations" in the department name.
Roles
The canonical roles within Business Operations.
Program & Project Manager
Program and Project Managers in AI companies orchestrate the delivery of complex, multi-functional initiatives—from autonomous vehicle deployments and AI product launches to infrastructure scaling and organizational transformations. They own the end-to-end planning, execution, and risk management of programs that span engineering, product, operations, and commercial teams, translating technical and business complexity into clear roadmaps and milestones. What sets this role apart is the combination of strategic ownership with hands-on execution: these managers are expected to dive into substantive details, develop informed points of view on trade-offs, and personally drive work across functions to unblock progress. They typically sit within fast-growing AI organizations where established playbooks don't exist, operating with urgency while maintaining clarity and alignment across senior leadership, execution teams, and external stakeholders.
Supply Chain & Procurement Manager
This role drives strategic sourcing and vendor management for AI infrastructure companies, owning the end-to-end procurement lifecycle for critical hardware categories—from custom silicon and GPUs to cooling systems and networking equipment that power data centers. Unlike purely operational procurement roles, Supply Chain & Procurement Managers at AI firms blend deep technical fluency with complex commercial negotiation, negotiating multi-million-dollar supplier contracts while understanding the component-level requirements that engineering teams depend on. They sit at the intersection of engineering, finance, and operations, translating rapidly growing capacity demands into scalable sourcing strategies that mitigate supply risk and optimize costs as companies scale their infrastructure globally.
Business Operations & Strategy Manager
Business Operations & Strategy Managers at AI companies translate executive priorities into operating processes and run the cadences—planning, forecasting, business reviews—that keep the company aligned. The day-to-day spans process design, cross-functional project leadership, data analysis and dashboarding, and acting as a connective layer between executive leadership and the teams executing against strategy. Specific scope varies by company stage and industry: at infrastructure-heavy businesses, work centers on capacity and cost; at AI software companies, it skews toward GTM efficiency and customer lifecycle economics; at vertical AI companies, it follows the underlying transaction model of the business. What is consistent is the operating-system role—building scalable processes, surfacing what is working and what is not, and giving executives clean signal to act on. These roles typically sit within strategy, BizOps, or chief-of-staff functions, partnering across finance, product, sales, and engineering.
Construction Manager
Construction managers direct the complete build-out of AI data center infrastructure, overseeing site development, structural systems, MEP installation, and interior fit-out while coordinating multiple trades and managing schedules, budgets, and safety protocols. They distinguish themselves from general construction roles by specializing in mission-critical facilities where system reliability directly impacts AI compute uptime, requiring deep coordination with commissioning teams and operations handover. These professionals typically embed within dedicated infrastructure delivery teams at hyperscale AI companies, working alongside project engineers, cost controllers, and commissioning specialists to translate architectural designs into operational facilities that meet exacting performance and efficiency standards.
Data Center Operations Manager
This role leads day-to-day and strategic operations of mission-critical data center facilities supporting AI infrastructure, managing teams of technicians and overseeing mechanical, electrical, and cooling systems across one or multiple sites. It distinguishes itself from hands-on technician roles through its focus on regional or multi-site leadership, vendor management, preventive maintenance programs, and executive-level performance accountability for uptime and reliability. These managers sit within larger infrastructure operations teams at hyperscale AI cloud providers, partnering closely with hardware engineering, construction, and capacity planning functions to ensure facilities reliably support dense GPU and compute deployments at scale.
Executive Assistant
This role operates as a strategic force multiplier for senior AI company executives, managing complex calendars, travel, and communications across multiple time zones while anticipating priorities before they escalate. Beyond traditional scheduling, the Executive Assistant exercises sound judgment to optimize how leaders allocate their time against the highest-impact initiatives—whether that's closing deals, managing board relationships, or scaling the organization. They serve as a trusted operational partner embedded within fast-moving AI teams, coordinating across customers, investors, and internal stakeholders to ensure seamless execution of critical meetings, offsites, and strategic initiatives while handling sensitive information with discretion.
Workplace & Facilities Manager
This role serves as the operational heartbeat of an AI company's office or campus, managing vendors, facilities, and day-to-day logistics to create safe, functional workspaces where technical teams can focus on building AI systems. Workplace & Facilities Managers coordinate everything from maintenance and security to catering and events, acting as the first point of contact for employees and visitors. They distinguish themselves from administrative roles by owning full facility operations and vendor accountability, and from pure facilities technicians by driving strategic workplace experience alongside hands-on execution. These managers typically sit within broader Real Estate or People Operations teams, partnering with site leadership, security, IT, and finance to scale workplace operations as AI companies grow rapidly.
Data Center Program Manager
This role leads the planning, execution, and operational readiness of data center infrastructure programs that power AI model training and deployment at scale. Program managers coordinate across site selection, engineering, construction, power infrastructure, and operations teams to move leased and partnered sites from commercial close through full operational handover, managing complex dependencies between chip allocation, facility design, supply chain delivery, and commissioning. What distinguishes this role is its focus on translating long-range capacity forecasts and hyperscale technical requirements into buildable, powered sites within aggressive timelines that conventional infrastructure delivery was not designed to meet. These managers typically sit within dedicated infrastructure or capacity delivery teams embedded across AI companies, working as single-threaded leaders accountable for portfolio-level visibility, stage-gate governance, and cross-functional alignment between external partners and internal stakeholders.
Warehouse & Logistics Coordinator
This role manages the critical flow of high-value hardware and materials through AI company operations, from receiving and storage through kitting and dispatch to deployment sites. Unlike pure warehouse roles, this coordinator bridges inventory accuracy with logistics coordination, ensuring that servers, GPUs, networking equipment, and other infrastructure reach production and field teams on time and in perfect condition. The role typically sits within operations teams at rapidly scaling AI infrastructure companies, working cross-functionally with procurement, deployment, and data center operations to maintain real-time visibility into assets and resolve supply chain bottlenecks before they impact critical projects.
Manufacturing & Quality Manager
This role owns the quality and operational excellence of AI infrastructure manufacturing from raw material intake through final shipment. Managers in this position lead cross-functional teams spanning receiving inspection, production quality, and compliance, ensuring that modular data centers, power systems, and other mission-critical hardware consistently meet rigorous internal standards and regulatory requirements like ISO 9001 and UL certifications. They balance strategic quality systems design with hands-on oversight of inspection teams and technicians, driving continuous improvement through robust CAPA processes, calibration programs, and root cause analysis while partnering with engineering and supply chain to resolve design-to-build conflicts at scale.
Health, Safety & Environment Manager
This role manages health, safety, and environmental programs across AI infrastructure operations—from data center construction and commissioning to autonomous vehicle testing and laboratory research. Professionals in this space conduct daily site inspections, oversee contractor compliance, investigate incidents, and lead safety audits while navigating hazards ranging from high-voltage electrical systems and heavy equipment to hazardous materials and autonomous systems. They distinguish themselves by embedding safety into product design and operational workflows rather than treating compliance as retroactive, and they typically report to operations or facilities leadership within matrixed teams spanning engineering, legal, and cross-functional safety committees.
Energy & Power Manager
This role secures and procures reliable, cost-effective power supply at the scale required by AI compute infrastructure, navigating energy markets, utility relationships, and grid interconnection across multiple jurisdictions. Professionals work at the intersection of commercial energy development, Power Purchase Agreements, and physical power delivery—managing load forecasting, transmission planning, energy procurement strategy, and regulatory engagement to enable rapid data center scaling. They sit within infrastructure or energy teams at AI-focused companies, partnering closely with site development, engineering, finance, and operations to translate AI compute growth into executable power strategies and manage multi-hundred megawatt procurement efforts across wholesale and capacity markets.
Recent Jobs
The latest Business Operations openings across the AI industry.