​This is a full-time, remote-first Product Data Analyst role at ElevenLabs, a rapidly growing research and product company defining the frontier of audio AI. The role is titled “Data Scientist focused on product growth” in the summary, indicating a deep analytical focus on driving business metrics. This is a high-impact, hands-on role dedicated to accelerating activation, retention, and revenue growth across their core Creative Platform used by millions of creators and marketers.

• ​Location: Remote-first (Anywhere from US East Coast to Europe, with office options in London, New York, Dublin, and Warsaw).
• ​Experience Level: Not explicitly stated by years, but requires Expertise in product analytics and a proven ability to independently shape the product roadmap.
• ​Focus: Product analytics, SQL/Python proficiency, A/B testing design/analysis, metric definition (retention, LTV, activation), and ensuring data quality/telemetry implementation.
• ​Culture: High-velocity, impact-driven, AI-first, with minimal bureaucracy.

​About the Role: Driving Growth and Shaping the Roadmap

​The analyst partners deeply with Product and Engineering to translate user engagement data into actionable insights and prioritized features.

• ​Growth Acceleration: Uncover and drive insights that accelerate activation, retention, and revenue growth across the Creative Platform.
• ​User Engagement Analysis: Partner with Product and Engineering to understand how users engage, where they drop off, and which experiences create long-term value (LTV).
• ​Metric Definition: Define and instrument key metrics that measure the health of the creator journey, identify growth levers, and help prioritize features and experiments.
• ​Experimentation Rigor: Proven ability to design and analyze A/B tests, ensuring statistical integrity and actionable results.
• ​Hands-on Ownership: Expected to be hands-on—implementing telemetry, diving into the codebase to debug logging issues, or implementing new tools as the data stack evolves.
• ​Required Product Sense: Strong product sense with an ability to put yourself in the shoes of users and derive actionable insights from qualitative and quantitative data.

​Required Technical Expertise

​The position requires a strong blend of product intuition and data science rigor, including proficiency in the core data analysis toolkit.

• ​Technical Core: Expertise in product analytics, with a strong foundation in SQL and Python and familiarity with analytics tools across the data stack.
• ​Key Metrics Knowledge: A deep understanding of key product metrics such as retention, activation, and LTV.
• ​Bonus Skills: Experience building data pipelines and dashboards is a bonus.