Roles
The canonical roles within Finance.
Financial Planning & Strategy
This role owns the financial operating system for AI infrastructure businesses, translating capital deployment, compute economics, and operational complexity into decision-ready insight. Working closely with executive teams and boards, these leaders build integrated financial models that connect GPU capacity, energy strategy, site deployments, and cost structures across rapidly scaling, capital-intensive operations. They distinguish themselves by combining deep analytical rigor with operational judgment—able to challenge assumptions, model competing trade-offs between performance and profitability, and drive capital allocation discipline in dynamic environments. These roles typically sit within finance leadership, partnering across infrastructure, engineering, and commercial teams to ensure financial clarity supports both day-to-day execution and strategic growth decisions.
Accountant
Accountants in AI companies handle month-end close activities, reconciliations, and journal entries while managing specialized accounting areas critical to infrastructure-heavy AI businesses—such as construction-in-progress for data centers, compute cost allocation, cloud service provider expenses, and complex lease accounting under ASC 842 and IFRS 16. They distinguish themselves by working at the intersection of finance and technical infrastructure, translating high-volume operational data into auditable results that inform strategic decisions about capital deployment and product economics. These roles typically sit within dynamic finance teams at rapidly scaling AI cloud and infrastructure companies, collaborating closely with engineering, procurement, operations, and external auditors to build scalable processes that support hypergrowth while maintaining SOX compliance and accurate statutory reporting across multiple jurisdictions.
Revenue Accountant
Revenue Accountants at AI companies execute the operational backbone of the order-to-cash cycle, managing billing systems, revenue recognition entries, and account reconciliations in accordance with ASC 606. Unlike broader finance roles, they specialize in translating complex contractual terms—particularly usage-based and consumption pricing models common in AI products—into accurate accounting treatment and automated billing flows. These professionals typically sit within dedicated revenue or technical accounting teams, partnering closely with product, sales operations, and finance systems to ensure revenue data flows cleanly from deal execution through financial reporting while maintaining strong internal controls in fast-scaling environments.
Controller
Controllers in AI infrastructure companies oversee the full accounting function for rapidly scaling operations, balancing hands-on execution of close cycles with strategic leadership of accounting teams and systems. They distinguish themselves by building accounting infrastructure from scratch in high-growth environments—designing controls frameworks, writing SOPs, and automating manual processes using AI tools—rather than maintaining existing structures. These roles typically sit within Finance organizations that support compute-intensive businesses, partnering across Treasury, FP&A, Tax, and Operations to ensure financial reporting accuracy, compliance, and audit readiness while the business scales infrastructure for AI workloads.
Accounts Payable & Payroll Specialist
This role manages the full accounts payable and payroll lifecycle for fast-growing AI companies, processing vendor invoices, employee expense reports, and payroll transactions with precision and speed. It sits at the intersection of finance operations and cross-functional collaboration, working closely with procurement, HR, and accounting teams to maintain accurate records, ensure regulatory compliance, and support month-end and year-end closes. What distinguishes this role from general accounting work is its focus on process automation and scalability—specialists in this function identify manual bottlenecks and implement systems-driven solutions to handle high transaction volumes as companies scale. Typically embedded within lean Finance teams at early-to-growth stage AI companies, these roles often expand in scope as organizations expand globally, requiring expertise in multi-entity accounting, international payments, and audit-ready controls.
Technical Accounting Manager
This role serves as the technical accounting authority for AI companies navigating rapid scaling and complex transactions. The Technical Accounting Manager researches and documents accounting positions on non-routine matters—from revenue recognition under ASC 606 to stock-based compensation, lease accounting, and M&A implications—while translating intricate GAAP guidance into practical operational solutions. What distinguishes this function is its strategic partnership across the business: rather than simply maintaining compliance, these professionals advise Sales, Legal, and Deal Desk on structuring commercial arrangements, guide Finance through novel accounting scenarios, and ensure technical conclusions embed cleanly into close processes and systems. The role typically sits within Finance operations, reporting to a Controller or Finance Director, and works closely with auditors, tax advisors, and cross-functional stakeholders to build defensible accounting frameworks that scale with the company's growth.
Tax Manager
This role manages corporate tax compliance, planning, and strategy across direct and indirect taxes, with particular emphasis on leveraging automation and data-driven workflows to modernize tax operations. In AI-focused companies, Tax Managers work on infrastructure-heavy businesses—including GPU cloud platforms, AI compute services, and digital products—where indirect taxes (VAT, sales tax) and complex cross-border structures create significant compliance and planning challenges. They typically sit within Finance teams, partnering closely with Accounting, FP&A, and Legal to balance aggressive growth with tax risk management, while increasingly embedding themselves in technology decisions around tax engines, data pipelines, and entity structuring for new jurisdictions.
Treasury Manager
This role oversees global cash positioning, liquidity management, and banking relationships for high-growth AI infrastructure and software companies, managing everything from daily cash operations to long-term forecasting across multiple currencies and jurisdictions. Treasury Managers in this context distinguish themselves by balancing hands-on operational execution—cash positioning, bank account administration, payment controls—with strategic involvement in capital structure decisions and complex financing transactions that support the company's rapid scaling. They typically sit within the Finance organization reporting to the CFO or Treasurer, working closely with FP&A, Accounting, Legal, and Tax teams to ensure the treasury function provides the financial infrastructure and liquidity visibility that powers ambitious AI companies' growth trajectories.
Recent Jobs
The latest Finance openings across the AI industry.