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ElevenLabs is a rapidly growing AI research and product company that has raised $781M in funding and achieved an $11B valuation. The company serves millions of users and thousands of businesses including Deutsche Telekom and Meta, with three main platforms: ElevenAgents (voice and chat agents at scale), ElevenCreative (speech, music, image, and video generation across 70+ languages), and ElevenAPI (AI audio foundational models).
As a Finance & Strategy Analyst, you will serve as a finance business partner to various teams across the organization, working on central budgeting and financial planning as the company scales multiple platforms with distinct business models. You will own financial planning, forecasting, and performance reporting across product lines, focusing on revenue, margins, and unit economics. Your responsibilities include partnering with Product leadership on investment decisions, pricing, and new product launches; defining and tracking key metrics such as usage growth, contribution margin, cost per unit, and payback periods; supporting operations teams with headcount planning and budget management; and driving quarterly and annual planning cycles with a focus on clarity and speed. You will present findings directly to senior leadership and help translate strategic decisions into financial outcomes.
The role requires comfort with both detailed analysis (product metrics, unit economics) and high-level synthesis for senior stakeholders. You will work in a high-velocity, AI-first culture with minimal bureaucracy, where impact matters more than job titles. The company offers professional development stipends, annual company offsites, social travel budgets, and co-working stipends for those not near main hubs. ElevenLabs has offices in Dublin, London, New York, and Warsaw, and prioritizes talent over location.
REQUIREMENTS:
- 5–7 years of relevant experience in strategic finance or FP&A
- Strong understanding of SaaS business models and unit economics
- Experience building P&Ls from scratch; comfortable owning a model end-to-end and defending it with senior stakeholders
- SQL proficiency and fluency working with large datasets; experience with BI and FP&A tools
- First-principles thinking and ability to bring structure to ambiguous problems
