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Data Engineer - RevOps & Finance

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

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. 

About the role 

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

In this role, you will:

  • Design and Build Data Pipelines: Develop robust ETL processes that integrate data from various sources (CRM, ERP, marketing platforms, financial systems) to ensure that RevOps and Finance have reliable, timely data.

  • 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.

  • Automate Reporting Processes: Streamline regular reporting tasks by automating data extractions and report generation, ensuring stakeholders have access to real-time insights.

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

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

  • Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

  • Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

  • Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

  • Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

  • Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

  • 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)

  • Nice to have: familiarity with Salesforce, Gong, Stripe, Netsuite APIs

What we offer

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

  • A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

  • Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

  • Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

#LI-remote

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What You Should Know About Data Engineer - RevOps & Finance , ElevenLabs

Meet the exciting opportunity at ElevenLabs for a Data Engineer specializing in RevOps and Finance. This role is all about diving into the heart of our innovative voice technology while working remotely or from one of our vibrant offices in New York, London, or Warsaw. We are on a thrilling journey since our launch in January 2023, and reaching over a million users is just the beginning! As a Data Engineer, you'll design and build robust data pipelines, ensuring our RevOps and Finance teams have the reliable data they need to drive business success. You'll implement processes to maintain data quality, develop insightful data models, automate reporting tasks, and document methodologies to ensure transparency across teams. We cherish those who bring passion for audio AI and are eager to tackle complex challenges with an analytical mindset. If you're excited to join a global team that's shaping the future of AI audio solutions and want to grow alongside us, ElevenLabs is the place for you. Join us, and let's push the boundaries of technology together in an environment that values autonomy, innovation, and high-quality contributions!

Frequently Asked Questions (FAQs) for Data Engineer - RevOps & Finance Role at ElevenLabs
What are the core responsibilities of a Data Engineer at ElevenLabs?

As a Data Engineer at ElevenLabs, your core responsibilities will include designing and building data pipelines, ensuring data quality and integrity, developing data models, automating reporting processes, and documenting technical processes and methodologies. Your work will directly support both the RevOps and Finance teams, enabling them to make data-driven decisions.

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What qualifications are needed to be a Data Engineer at ElevenLabs?

To be a successful Data Engineer at ElevenLabs, you should have a strong background in data engineering with experience in tools like Python, SQL, and BI tools. Familiarity with APIs related to Salesforce, Gong, Stripe, and Netsuite is a plus. You'll also need a track record of collaborating with RevOps and Finance teams to solve complex data challenges.

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How does ElevenLabs ensure data quality for its RevOps and Finance teams?

At ElevenLabs, ensuring data quality involves implementing robust automated validation and cleansing processes. As a Data Engineer, you will focus on maintaining high-quality datasets that minimize errors, which is crucial for accurate financial reporting and revenue forecasting.

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What can I expect from the company culture at ElevenLabs?

The culture at ElevenLabs is built around high velocity, continuous growth, and a global mindset. We embrace rapid experimentation and prioritize remote work, ensuring that talent is at the forefront. Collaboration with teammates across multiple countries is encouraged, and we host annual company offsites to foster team bonding.

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What makes the Data Engineer position at ElevenLabs unique?

The Data Engineer position at ElevenLabs is unique because it sits at the intersection of audio AI technology and business performance optimization. This role allows you to contribute not just to technical projects but also to meaningful outcomes that impact the evolution of AI in the audio space. Being part of an early-stage company also provides incredible opportunities for career growth.

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Common Interview Questions for Data Engineer - RevOps & Finance
Can you explain your experience with designing data pipelines?

When answering this question, focus on specific projects where you designed data pipelines. Discuss the tools you used, the challenges you faced, and how you ensured data reliability and accuracy. Highlight any ETL processes you've implemented and the impact they had on the business.

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What strategies do you use to ensure data integrity?

To effectively answer this question, describe the automated validation and cleansing processes you've implemented in previous roles. Discuss methods to catch errors and maintain high-quality datasets, emphasizing the importance of accurate data for decision-making.

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How do you approach developing data models for finance-related KPIs?

In your response, detail your approach to creating data models that align with key performance indicators. Mention how you collaborate with finance teams to understand their needs and integrate relevant data sources to drive useful insights.

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Describe a complex data challenge you faced and how you solved it.

Choose a specific example that showcases your problem-solving skills. Discuss the complexity of the challenge, the steps you took to address it, and the final outcome. Highlight your analytical thinking and the tools you leveraged to reach a solution.

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How do you manage your time and priorities in a remote work environment?

When answering this question, mention the methods you use to stay organized, such as using project management tools or setting clear goals each week. Emphasize your ability to work autonomously and highlight any experiences that required self-discipline and time management.

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What experience do you have with BI tools?

Discuss your familiarity with BI tools by mentioning specific platforms you've used and the types of dashboards or reports you've created. Connect your experience to how these tools can benefit the RevOps and Finance teams at ElevenLabs.

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Can you walk us through your experience with financial datasets?

Provide insights into your previous work with financial data. Describe the types of datasets you've worked with, the context in which you analyzed them, and the insights that were derived. Mention any unique challenges you overcame while working with financial information.

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How do you foster collaboration with cross-functional teams?

Emphasize the importance of communication and the tools or practices you use to collaborate effectively. Highlight specific projects where you worked closely with RevOps or Finance teams, showcasing your ability to align on goals and performance metrics.

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What excites you about working in audio AI?

Make your answer personal by sharing your passion for audio technology and its potential impact on accessibility and innovation. Discuss why you believe this field is significant and how it aligns with your professional aspirations.

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Why should we hire you as a Data Engineer for ElevenLabs?

Your response should emphasize your unique skills and experiences that make you a strong candidate. Connect your technical expertise and previous successes with the specific needs of ElevenLabs, articulating your enthusiasm for contributing to a pioneering company in voice technology.

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About ElevenLabs ElevenLabs is a growth-stage startup that has built the most advanced AI voice models and AI voice products (text-to-speech, audiobook creation, dubbing, and the voice library).

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Full-time, remote
DATE POSTED
February 28, 2025

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