Data Engineer

2 days ago

Remote Warsaw, Czech Republic ElevenLabs Full time
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

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. 

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.
,[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.] Requirements: AI, Python, SQL, BI, dbt, Salesforce

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