Strategic Finance

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 the Role We are looking for a highly analytical, execution-focused finance partner to join our Strategic Finance team. This is a high-impact, highly visible role that sits at the intersection of financial planning and business strategy.  You will be responsible for synthesizing data, building KPIs, and forming insights in order to shape our business strategy. You will work closely with all functional leaders, with a key focus on understanding AI infrastructure, investments and tradeoffs. The ideal candidate is interdisciplinary and willing to roll up their sleeves to help with operational work across the organization and dive into technical accounting to help inform cost allocation methodologies. This role is ideal for someone who thrives in a fast-paced, ambiguous environment and wants meaningful ownership in a finance function that's still being shaped.   What you'll do Compute & Unit Economics Build and maintain the unit economics and gross margin models that feed into our operating model and three-statement forecast  Partner with infrastructure and engineering teams to gather cost and capacity data; help build and run recurring reporting on GPU utilization, COGS drivers, and margin trends Support cross-functional initiatives around contract negotiations, procurement and infrastructure investments   Develop and maintain unit economics KPIs (e.g., gross margin per model, revenue per GPU hour, blended GPU cost per hour) that connect product and infrastructure decisions to financial outcomes Forecasting & Automation Automate recurring financial workflows using AI tools Support quarterly forecasting and budget cycles, with primary ownership of the COGS and gross margin build Build and maintain the long-range financial model and scenario planning frameworks (e.g. capacity planning) Partner with accounting on monthly close to ensure COGS and compute spend are accurately captured and categorized  Build dashboards and reporting that give leadership real-time visibility into compute spend, margin trends, and key business drivers Qualifications 7+ years of experience with a mix of experience in (1) investment banking or private equity and (2) in-house strategic finance at a high growth technology company  Experience forecasting usage-based or consumption revenue and costs  Strong process design instincts and intuition around architecting data tables  Strong working knowledge of accounting concepts, and able to translate accounting concepts for non-finance stakeholders Deep expertise in financial modeling, with the ability to distill complex data and synthesize data into clear, actionable insights Strong communication skills, work ethic and attention to detail, with a drive towards execution  Comfortable working in a fast-paced, high-growth startup environment with evolving processes Preferred Experience in AI, cloud, or large-scale computing infrastructure Experience with a modern FP&A platform  Track record of building and using AI tools to automate financial workflows Familiarity with SQL and Python Compensation $200,000 - $250,000 + equity + comprehensive benefits package Location This role is onsite in our downtown San Francisco HQ Why Join Us? Opportunity to shape the finance foundation of a high-growth AI startup. Work with a collaborative, mission-driven team. Competitive compensation, equity, and benefits. High autonomy and real ownership over core financial analysis. Offices: San Francisco, California, United States (SF Office);