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ElevenLabs is an AI research and product company that has raised $781M in funding with a $22B valuation. The company serves millions of users and thousands of businesses, including enterprises like Deutsche Telekom and Meta. ElevenLabs operates three main platforms: ElevenAgents (voice and chat agents at scale), ElevenCreative (speech, music, image, and video generation across 70+ languages), and ElevenAPI (AI audio foundational models).
You will join the Growth Data team as a Data Scientist focused on Product Analytics. This is an embedded analytics role where you'll own the analysis behind product discovery, adoption, and retention across ElevenLabs' product suite.
Key responsibilities:
- Define and own product health metrics including activation, feature adoption, retention, and engagement across ElevenCreative, ElevenAgents, and ElevenAPI
- Design, analyze, and communicate results of product experiments including A/B tests, feature launches, and onboarding changes
- Partner with Analytics Engineering on the certified product KPI layer in dbt, and collaborate with Product teams to translate ambiguous questions into trusted analysis
- Work alongside fellow Growth data scientists on marketing and revenue-adjacent questions that touch the product funnel
The company culture emphasizes high-velocity experimentation, impact over job titles, AI-first thinking, and excellence across all work. You'll be part of a global team of researchers, engineers, and operators working on a generational opportunity in AI.
Requirements:
- Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company
- Strong SQL and Python skills with hands-on experience in experimentation (A/B testing) and product analytics
- Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics
- Comfort working directly with Product and Growth stakeholders, and ability to push back on ill-defined asks
- Structured thinking with ability to move fast without sacrificing rigor
Bonus qualifications:
- Experience with activation/retention modeling or lifecycle analytics at a consumer or prosumer product
- Experience with dbt or modern data warehouse, partnering directly with analytics engineers
- Experience using AI tools or agents to speed up analysis or enable self-serve data access
