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Analytics Engineer

Elevenlabs · Europe · full-time · Remote

Datafull-timeRemoteEurope
Data Science & AnalyticsAny
RemoteJobs editorial overview

Strategic Overview

Analytics Engineer at Elevenlabs is defined by the responsibilities and candidate requirements in the employer's listing.

The published role emphasizes work such as ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

The role is listed for Europe with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusData
LocationEurope
WorkplaceRemote
Employmentfull-time
PostedNov 1, 2026
Last seenNov 1, 2026
Role context

About This Role

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model.

Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta.

What the role delivers

Key Responsibilities & Objectives

  • ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
  • Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
  • Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
  • Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation.
  • Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny.
  • Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents.
  • Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns.
  • Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker).
  • Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong.
  • Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models.
Additional fit signals

Preferred Qualifications

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

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

  • Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
  • Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
  • Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend.
  • Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
  • Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
  • Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

We have expanded from voice into three main platforms:

  • ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

  • ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

  • ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

How we work

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

  • Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

  • AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

  • Excellence everywhere: Everything we do should match the quality of our AI models.

  • Global team: We prioritize your talent, not your location.

What we offer

  • Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

  • Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.

  • Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

  • Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

  • Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún

  • Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

About the role

We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds.

  • Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation.

  • Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny.

  • Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous 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 (required); strong grasp of dimensional modelling, grain, and incremental patterns.

  • Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker).

  • Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong.

  • Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models.

Bonus:

  • Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale.

  • Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools.

  • Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.

Location

This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.

#LI-Remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. — rather than a generic title alone.

Resume & Application Strategy

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