Why This Job is Featured on The SaaS Jobs
This Data Engineer role stands out in the SaaS landscape because it sits at the intersection of product-led growth and the modern data stack. ElevenLabs operates a multi-platform model with an API offering and broad customer mix, which typically creates complex event and revenue data flows. Positioning data engineering inside a Growth function signals a focus on turning usage, experimentation, and go-to-market signals into reliable datasets that can be acted on across the business.
For a SaaS career, the long-term value is in building foundational capabilities that scale with adoption. Work centered on pipeline reliability, dbt standards, and data quality maps directly to challenges faced by subscription and usage-based businesses as they mature. The emphasis on self-service access and documentation also develops an operator mindset that transfers well across SaaS teams where analytics needs to be consumable by non-data specialists.
This role is best suited to someone who enjoys ownership and systems thinking, and who prefers making ambiguous data landscapes legible for others. It will fit professionals comfortable partnering with functions like Growth and Revenue Operations, and who want their engineering work to influence decision-making rather than remain purely infrastructural.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 $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.
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 prioritize your talent, not your location.
What we offer
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
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 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
Requirements
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.
Location
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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