Analytics Engineer (AI)

Location: Remote anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones; optional offices in London and Warsaw.

Company

ElevenLabs is an AI research and product company developing voice, creative media, conversational agent, and AI audio platforms.

What you will do

• Build and scale the transformation layer between raw data and business decisions using dbt.
• Implement a company-wide metric layer covering modelling conventions, project structure, testing, CI, and documentation.
• Design and maintain certified KPI models for product activation, adoption, retention, usage, billing, ARR, revenue, and company-wide topics.
• Partner with Data Engineering on the data warehouse architecture.
• Translate ambiguous stakeholder questions into trusted, reusable data products, including data served through AI agents.

Requirements

• Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team.
• Expert knowledge of dbt and advanced SQL.
• Strong understanding of dimensional modelling, data grain, and incremental patterns.
• Proficiency with the modern data stack, including BigQuery or a similar data warehouse, Python, and BI tools such as Looker.
• Rigorous approach to data quality, including testing, documentation, reconciliation, and identifying models that run successfully but produce incorrect results.
• Ability to understand varied stakeholder requirements, challenge them where necessary, and translate them into generalised, well-documented models.

Nice to have

• Experience modelling billing, subscription, and ARR data using tools such as Stripe or Salesforce, or modelling product event data at scale.
• Experience serving data to LLM-based agents or building semantic or metrics layers consumed by AI tools.
• Experience with data CI, including Slim CI, data contracts, and PII policy tags.
• Experience with infrastructure-as-code for warehouse access.

Culture & Benefits

• High-velocity environment with rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• AI-first culture focused on high-quality outcomes and impactful work.
• Annual discretionary stipend for professional development.
• Annual discretionary stipend for meeting colleagues and social travel.
• Annual company offsite and monthly co-working stipend for employees not located near a main hub.