--- title: 'Infrastructure Accounting Lead at fal' canonical: 'https://feeny.ai/job/infrastructure-accounting-lead-fal-san-francisco-ddfpyd0njt0e' type: 'job' last_seen: '2026-10-15' --- # Infrastructure Accounting Lead at fal - **Company:** fal - **Location:** San Francisco, CA - **Compensation:** $210k–$240k - **Employment:** full-time - **Posted:** 2026-10-10 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.ashbyhq.com/fal-ai/6ad0457a-802b-48b4-88e5-f8c3eaee2475 ## Job description fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: We're hiring an Infrastructure Accounting Lead to own the accounting for fal's largest and fastest-growing cost base: compute. GPU capacity, colocation and hosting, and the engineering effort we build on top of it all run through this role — from the detailed review of infrastructure spend each month, to the technical positions behind it, to the systems and automation that make it scale. You'll partner with Finance, Operations, and Engineering to build out fal's infrastructure and R&D accounting processes, including cost to compute. That means working with internal stakeholders and infrastructure partners on data and vendor billing accuracy, and collaborating with the Technical Accounting Lead on treatment of complex compute arrangements so our positions stand up to auditor review. This is a hands-on, high-ownership role. You'll partner closely with Infrastructure, Engineering, Procurement, Legal, and Strategic Finance, and use the latest AI tools to work productively. ## What you’ll do - Overall - Own the accounting for fal's compute costs: GPU capacity, cloud and data center commitments, and the infrastructure behind our platform. - Build AI agents, scripts and automated workflows that keep compute accounting accurate, timely and scalable, rather than manual and spreadsheet-driven. - Act as the accounting owner for compute vendors. Translate contracts, usage data and invoices into correct accounting and give clear insight into what compute really costs. Compute Cost Accounting - Account for GPU and cloud provider agreements from start to finish, including reserved and committed capacity, usage-based billing, credits and true-ups. - Collaborate with Procurement to ensure we have a reliable, systems based schedule of every compute commitment, prepayment, deposit and asset. - Capitalize GPU servers, networking and data center equipment. Set useful lives and manage depreciation, disposals and impairment reviews. - Classify compute cost correctly between cost of revenue and operating expense (R&D and internal use) so Strategic Finance can rely on it for gross margin reporting. Close, Audit & Other Technical Areas - Streamline recurring close work, leaning on AI/systems to assess usage data, match invoices to PO and contractual commitments, flag anomalies and draft journal entries, balance sheet reconciliations and variance explanations. - Collaborate with Infrastructure and Engineering on capacity changes, and with Strategic Finance on forecasts, budget vs. actual and cost per unit of compute. - Ensure compute and infrastructure accounting is audit-ready with clear documentation and policies - Review compute and colocation agreements with Technical Accounting, Legal, and Procurement to identify embedded leases (ASC 842) and other terms that impact accounting. - Support ERP system implementation, including data flows, account structure and migration needs for compute costs. ## Qualifications/Nice-to-haves - Bachelor's degree in Accounting or Finance; CPA preferred - 8+ years of progressive accounting experience, preferably a combination of public accounting and operational experience at a technology company (cloud infrastructure, SaaS, or AI strongly preferred) - A builder mindset that enjoys drawing the blueprint for automated, reliable and scalable processes - Best-in-class attention to detail and unwavering commitment to accuracy in an ever-changing business environment - Strong written and interpersonal communication skills — you can partner with internal and external stakeholders on complex topics and translate technical accounting into clear, concise takeaways for non-technical audiences - High agency — you set your own priorities, make decisions independently, and drive work to completion - Strong understanding of the AI development and platform infrastructure landscape - Experience at a high-growth software, cloud infrastructure, AI, or other capital-intensive technology company - AI and automation first. You use the latest AI tools — or build your own — to automate reconciliations, analyze large usage/spend datasets, and streamline your work ## What we offer at fal - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites ## Compensation - $210,000 - $240,000 + equity + comprehensive benefits package ## U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law. ## About fal ## Company Overview - **One-liner**: fal provides a serverless generative media platform for developers, enabling lightning-fast inference for image, video, audio, and 3D AI models. - **Entity Type**: Private (Series D) - **Headquarters**: San Francisco, California, USA - **Founded**: 2021 - **Founders**: Burkay Gur, Gorkem Yurtseven ## Core Business - **Industry**: Technology, Information, and Internet (Generative AI Infrastructure) - **Target Customers**: B2B — developers, enterprises, and research labs building generative AI applications. - **Mission**: Build the world’s first generative media platform for developers, enabling real-time AI content creation at scale. ## Products & Services - **fal Inference Engine™**: A globally distributed serverless runtime optimized for large ML models on thousands of GPUs (H100, H200, B200). Up to 10x faster than alternatives, with 99.99% uptime and no cold starts. - **Model Gallery**: A library of 1,000+ production-ready generative media models (image, video, audio, 3D) accessible via a unified API and SDKs. - **Dedicated Compute Clusters**: On-demand or reserved GPU clusters for fine-tuning, training, or running custom models, with access to 1000s of Blackwell GPUs. - **fal Compute**: Hourly GPU pricing for dedicated VMs, starting at $1.89/hr for high-end hardware. ## Market Standing - **Valuation/Market Cap**: Not disclosed (most recent round: $140M Series D) - **Key Metric**: $140M Series D raised - **Total Funding**: At least $163M across rounds (Pre-Seed $9M, Series A $14M, Series D $140M) - **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Kleiner Perkins, NVIDIA - **Growth Signals**: - Headcount grew 246% year-over-year to ~84 employees - Trusted by 1.5M+ developers and leading enterprises - Powers AI features for public companies and hypergrowth startups - SOC 2 compliant and enterprise-ready ## Competitive Advantages - **Serverless, globally distributed inference engine** purpose-built for generative media, eliminating GPU configuration and cold starts. - **Massive scale**: Capable of handling 100M+ daily inference calls with enterprise-grade reliability. - **Proprietary distributed data-feeding engine** and deep optimization for diffusion models. - **Deep ecosystem**: 1,000+ pre-integrated models and strong partnerships with NVIDIA and top-tier VCs. - **Developer-first experience**: Unified API, SDKs, and per-output pricing model reduce barriers to deployment. ## Strategic Focus - **Global infrastructure scaling**: Expanding GPU fleet across regions to meet accelerating demand for generative media. - **Enterprise adoption**: Strengthening compliance (SOC 2, SSO), private endpoints, and dedicated support for large customers. - **Generative Media Fund**: Investing in the next generation of companies building in the space. - **Talent acquisition**: Aggressively hiring across engineering, go-to-market, and operations to keep pace with growth. ## Why Work Here - **Engineering culture**: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one. - **Work model**: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates. - **Visa sponsorship**: Offered with relocation support to San Francisco. - **Benefits**: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites. - **Growth trajectory**: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities. - **Impact**: Work on the foundational platform powering generative AI for millions of users and leading enterprises. ## Sources 1. [fal.ai](https://fal.ai/) 2. [fal Careers](https://fal.ai/careers) 3. [fal Blog - Series D Announcement](https://blog.fal.ai/our-series-d-scaling-fal/) 4. [LinkedIn - fal](https://www.linkedin.com/company/features-and-labels) 5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/fal) ## Other roles at fal - [Influencer Marketing Manager](https://feeny.ai/job/influencer-marketing-manager-fal-san-francisco-vmqtx4fpnkxv) — San Francisco, CA - [Software Engineer, Applied Machine Learning](https://feeny.ai/job/software-engineer-applied-machine-learning-fal-san-francisco-rhz2qr697k2v) — San Francisco, CA - [Senior/Staff Software Engineer, Forward Deployed](https://feeny.ai/job/senior-staff-software-engineer-forward-deployed-fal-san-francisco-0jw2vrfsjj4j) — San Francisco, CA - [Software Engineer, Machine Learning-Backend](https://feeny.ai/job/software-engineer-machine-learning-backend-fal-san-francisco-d3tnnz2gd7xj) — San Francisco, CA - [Senior Software Engineer, Machine Learning Infrastructure & Automation](https://feeny.ai/job/senior-software-engineer-machine-learning-infrastructure-automation-fal-united-yn92t5ee7v00) — United States - [Senior Software Engineer, Full Stack (Serverless)](https://feeny.ai/job/senior-software-engineer-full-stack-serverless-fal-san-francisco-cne8pnqchjjy) — San Francisco, CA - [Field Marketing Manager, Enterprise & ABM](https://feeny.ai/job/field-marketing-manager-enterprise-abm-fal-san-francisco-m05rec34ndeb) — San Francisco, CA - [Event Marketing Manager](https://feeny.ai/job/event-marketing-manager-fal-san-francisco-hqpptrw1s9j1) — San Francisco, CA - [Technical Content Marketing Manager, Infrastructure](https://feeny.ai/job/technical-content-marketing-manager-infrastructure-fal-san-francisco-4ezha0ywcwhk) — San Francisco, CA - [Product Marketer, Infrastructure](https://feeny.ai/job/product-marketer-infrastructure-fal-san-francisco-db7ckz5ww674) — San Francisco, CA