Backend-Driven Full-Stack Engineer for AI Media Pipelines

Jobicy

United States

Remote

USD 120,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Innovative culture
Growth paths
Learning & development
Social travel
Annual offsite

Job summary

ElevenLabs is seeking a strong backend generalist to own and ship data-heavy systems within Studio’s dubbing pipeline. You’ll shape specifications, manage complex data structures, and drive a greenfield project from concept to launch.

The role blends engineering excellence with product ownership across a globally distributed team. You’ll work on scalable backend pipelines, enterprise-grade concerns, and collaboration with cross-functional teams to deliver multilingual outputs with auto-generated

Qualifications

  • Strong backend generalist with experience designing and shipping complex, data-heavy systems end to end.
  • Experience with enterprise-grade concerns such as usage reporting and accounts.
  • Evidence of product ownership through side projects, open source, or product-facing work.
  • Experience taking projects from inception to launch with little hand-holding.

Responsibilities

  • Define and refine project specifications (RFCs) and data structures with the team.
  • Lead the Studio project from initial proposal to launch.
  • Own the backend data pipelines and ensure scalable architectures.
  • Collaborate with cross-functional teams to implement the dubbing pipeline across languages and formats.

Skills

Backend generalist
Data-heavy systems
Product ownership
Inception to launch

Job description

ElevenLabs is seeking a strong backend generalist to own and ship data-heavy systems within Studio’s dubbing pipeline. You’ll shape specifications, manage complex data structures, and drive a greenfield project from concept to launch.

The role blends engineering excellence with product ownership across a globally distributed team. You’ll work on scalable backend pipelines, enterprise-grade concerns, and collaboration with cross-functional teams to deliver multilingual outputs with auto-generated

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