Automations Engineer

ElevenLabs

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

Responsibilities

  • Design and build internal tools and infrastructure that directly support go-to-market, Operations, and Finance teams
  • Develop AI agents to automate processes, surface insights, and integrate data across multiple systems
  • Partner with strategy and operations teams to understand customer and sales lifecycles, then automate and optimize them with code
  • Own and launch experiments to identify new ways to scale and optimize company operations
  • Deliver technical enablement through education, tooling, and streamlined workflows that make insights actionable
  • Rapidly prototype and deploy full-stack features that drive immediate business impact

Requirements

  • Strong full-stack engineering skills with comfort across frontend, backend, and infrastructure
  • Proficiency in Python and SQL
  • Builder mindset with fast iteration and ability to work independently without perfect specs
  • Deep product intuition with focus on systems, workflows, and business impact
  • Experience with AI agents, LLMs, prompting, and common integration patterns across tools and systems
  • Passion for exploring how AI transforms B2B sales, marketing, operations, and finance

About the Company

ElevenLabs is an AI research and product company transforming how we interact with technology. Launched in January 2023 with the first human-like AI voice model, the company now serves millions of users and thousands of businesses including Deutsche Telekom and Meta. Backed by Andreessen Horowitz, ICONIQ Growth, and Sequoia, ElevenLabs has raised $781M at an $11B valuation. The company operates three main platforms: ElevenAgents for intelligent customer experiences, ElevenCreative for multimodal content generation, and ElevenAPI for developer access to AI audio models.

Skills & tools

PythonSQLAILLMFull Stack

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Strong full-stack engineering skills
  2. 02Python and SQL proficiency
  3. 03Builder mindset with fast iteration
  4. 04Deep product intuition
  5. 05Experience with AI agents and LLMs
  6. 06Data and integration pattern expertise