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
- ElevenLabs is seeking an experienced Analytics Engineer to join the Data team as one of its first hires, owning the transformation layer between raw data and business decisions.
- The role involves modelling data in dbt, defining certified metrics, and setting the standards for analysts and data scientists.
- Responsibilities include driving the implementation of a world-class metric layer and designing certified KPI layers for product, finance, and company-wide topics.
Responsibilities
- Drive the implementation of a world-class metric layer for the company, including modelling conventions, project structure, testing, CI, and documentation.
- Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny.
- Partner with Data Engineering on evolving the data warehouse architecture.
- Partner with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents.
Requirements
- Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team.
- Expert knowledge of dbt and advanced SQL.
- Strong grasp of dimensional modelling, grain, and incremental patterns.
- Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker).
- Rigour around data quality: testing, documenting, and reconciling by default.
- Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models.
Preferred qualifications
- Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale.
- Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools.
- Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.
Benefits
- Annual discretionary professional development stipend
- Annual discretionary social travel stipend
- Annual company offsite
- Monthly co-working stipend for those not located near main hubs
Workplace
- Role is remote-first, executable from anywhere in Europe or the US East Coast.
Skills
- Dbt
- SQL
- BigQuery
- Python
- Looker
- Stripe
- Salesforce
