Data Engineer
About ElevenLabs
ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.
ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.
ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.
How we work
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 prioritise your talent, not your location.
What we offer
Learning & development: Annual discretionary stipend towards professional development.
Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.
Annual company offsite: We bring the entire company together at a new location every year.
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for an experienced Data Engineer to join our Core Platform team. You will formalise, optimise, and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.
Responsibilities:
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, etc.) to independently meet their data needs.
Requirements
We do not require formal certifications or degrees, but we are looking for demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
We do require:
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 generalized solutions.
#LI-Remote
Data Engineer
About ElevenLabs
ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.
ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.
ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.
How we work
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 prioritise your talent, not your location.
What we offer
Learning & development: Annual discretionary stipend towards professional development.
Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.
Annual company offsite: We bring the entire company together at a new location every year.
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for an experienced Data Engineer to join our Core Platform team. You will formalise, optimise, and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.
Responsibilities:
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, etc.) to independently meet their data needs.
Requirements
We do not require formal certifications or degrees, but we are looking for demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
We do require:
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 generalized solutions.
#LI-Remote