Data Engineer

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 $11B - 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.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

• AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

• Excellence everywhere: Everything we do should match the quality of our AI models.

• Global team: We prioritize your talent, not your location.

We’re looking for an experienced Data Engineer to join our Growth team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.

• Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient.

• Implement and maintain dbt best practices, data standards, and quality controls.

• Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs.

• Create AI agents to serve data questions for others

Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.

• Expert knowledge of dbt (required).

• Proficiency with tools across the modern data stack (Python, SQL, BI tools).

• Structured thinking; ability to simplify complex, messy data into clear structures.

• Strong ability to understand varied stakeholder requirements and build generalised solutions.

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, Dublin, New York, San Francisco, and Tokyo.

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