This role is remote but we are looking for someone to be based in Europe.
About ElevenLabs
ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.
ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.
ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.
How we work
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High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
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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.
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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.
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Excellence everywhere: Everything we do should match the quality of our AI models.
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Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.
What we offer
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Flexible time off: We trust you to balance rest with the high-energy demands of an early-stage startup.
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Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.
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Learning & development: Annual discretionary stipend towards professional development.
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Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.
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Annual company offsite: We bring the entire company together at a new location every year.
About the role
As a GTM AI Automations Engineer, you will build the infrastructure that powers how we scale our go-to-market teams. Your focus will be on deploying AI agents, automating workflows, integrating insights across systems, and creating resources that enable our Sales and Customer Success teams to operate more effectively and independently.
As a GTM AI Automations Engineer, you can expect to:
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Build AI agents to automate processes, surface insights, and integrate data across multiple tools and resources.
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Own & launch experiments to identify new ways to scale and optimize go-to-market operations, and drive their development and implementation.
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Design and deliver technical enablement that makes insights actionable across the go-to-market teams, through education, tooling, and streamlined workflows.
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Build a scaled customer success infrastructure that helps customers discover new use cases, educate themselves, and scale with ElevenLabs.
Requirements
We’re looking for exceptional individuals who are passionate about building technical systems that scale go-to-market teams. You’ll thrive with us if you:
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Are passionate about AI, automation, and using technology to drive efficiency and scale.
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Enjoy designing & building technical solutions that empower internal teams to move faster and operate more independently.
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Have a strong technical background, with experience working with data, AI agents, LLMs, prompting, and common integration patterns across tools and systems. Proficient coding skills in various languages to build solutions, automations, or integrations. Minimum requirements: Python, SQL
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Are comfortable experimenting, launching, and iterating quickly to drive adoption of new workflows and insights.
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Have a talent for spotting patterns, identifying opportunities to automate or standardize, and translating them into scalable solutions.
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Bring strong empathy for sales, and customer success teams, and understand how to design tooling and enablement that fits their workflows.
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Communicate clearly across technical and non-technical audiences, making complex ideas actionable and easy to adopt.
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