At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote
About ElevenLabs
- ElevenLabs is an AI research and product company transforming how we interact with technology.
- We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
- We have expanded from voice into three main platforms:
- - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- - ElevenAPI gives developers access to our leading AI audio foundational models.
About the role
- We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance.
- You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO.
Responsibilities
- Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments.
- Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong.
- Build forecasting and scenario models that FP&A uses directly in planning and board reporting.
- Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.
Requirements
- Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company.
- Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.
- Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language.
- Rigour around data quality: you reconcile by default and can explain a variance, not just report it.
- Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks.
Preferred qualifications
- Experience preparing finance data for audit, SOX or IPO readiness.
- Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business.
- Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers.
Benefits
- Annual discretionary professional development stipend
- Annual discretionary social travel stipend to meet up with colleagues
- Annual company offsite
- Monthly co-working stipend if not located near one of the main hubs
Workplace
- Remote-first role executable from anywhere in Europe or the US East Coast
Skills
- SQL
- Python
- Stripe
- Salesforce
- Dbt
- BigQuery
