Data Scientist & Engineer

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

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 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 prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.

What we offer

• Flexible time off: We trust you to balance rest with the high-energy demands of an early-stage startup. 

• Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.

• 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.

About the role 

We’re looking for an experienced, hands-on Data Scientist to embed into and support analytics within RevOps and Finance teams. 

In this role, you will:

• Ensure Data Quality & Integrity: Implement automated data validation and cleansing processes to maintain high-quality datasets, reducing errors that could impact financial reporting or revenue forecasting.

• Develop Data Models: Create and maintain data models that drive key performance indicators (KPIs) for revenue operations and finance.

• Build Intuitive Dashboards for Revenue Insights: Design and maintain user-friendly dashboards tailored for revenue leaders, focused on key business metrics such as lead conversion rates, pipeline coverage, sales velocity, and win/loss trends. Prioritize clarity and usability, enabling teams to self-serve insights and track performance against targets. 

• Support Ad Hoc Analysis and Strategic Questions: Act as a thought partner to GTM stakeholders by rapidly answering ad hoc data questions, conducting deep-dive analyses, and providing clear, actionable takeaways grounded in data.

• Document Processes & Methodologies: Maintain thorough documentation of data pipelines, models, and analytical methodologies to facilitate transparency and ensure consistency across teams.

Requirements

• A track record of partnering with RevOps and Finance teams to translate business challenges into data-driven solutions, ensuring alignment on key performance metrics.

• Proficiency with tools across the modern data stack (python, SQL, BI tools, dbt)

• Bonus: familiarity with Salesforce, Gong, Stripe, Netsuite APIs

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