Job Description
About ElevenLabs
ElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.
We 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 the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.
Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.
Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.
We are just getting started. If you want to work hard and create lasting impact, we would like 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
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 someone to join our Safety team and own key outcomes across policy, automation, and enterprise guardrails. You’ll design integrity policies aligned with global regulations, and shape how enterprises implement guardrails when building on our APIs.
You’ll work within an established Safety organization, partnering with Safety Engineers, operations, and investigations while taking full ownership of your verticals. This means driving policy decisions end-to-end, architecting automation that multiplies the team’s impact, and defining the safety frameworks our enterprise customers rely on.
We’re looking for a generalist who thrives owning outcomes, not someone who only knows one slice of Trust & Safety. You should be comfortable with ambiguity, fluent in the regulatory landscape, and excited to use AI to make safety operations faster, broader, and more robust.
What you’ll do:
Design and evolve safety policies for audio AI, image/video AI and agentic safety. Aligned with ISO42001, EU AI Act, DSA, US state laws, and global regulatory developments
Build scalable, AI-powered systems and workflows that dramatically reduce response times and increase policy coverage
Partner with Safety Engineers to translate policy requirements into automated detection, moderation, and enforcement systems
Drive cross-functional safety integration with product, engineering, legal, and operations teams, ensuring safety is embedded into the development lifecycle, not bolted on after
Respond to safety policy escalations: partner closely with moderation and investigations teams to triage, investigate, and resolve complex incidents, ensuring decisive and transparent action when user or platform integrity is at risk
Requirements
Broad experience across Trust & Safety: policy, operations, investigations, and content moderation, not just one specialty
Track record of owning and delivering safety outcomes end-to-end, ideally in fast-moving, engineering-first environments
Deep familiarity with the global AI regulatory landscape: EU AI Act, DSA, US state laws, and emerging frameworks
Technically conversant: comfortable with dashboards, SQL, and ML concepts, able to collaborate deeply with engineers, able to read automation in python.
Strong risk calibration: you know when to move fast, when to pause, and how to balance user safety with product velocity
Exceptional communicator who can translate complex safety considerations for engineers, product managers, executives, and external stakeholders
Bonus:
Audio or voice-specific Trust & Safety experience (voice cloning, synthetic media, audio deepfakes)
Experience in engineering-first organizations where safety shipped alongside product
Background designing safety frameworks for enterprise customers or API platforms
Familiarity with AI/ML pipelines and how to build guardrails into model deployment
Location
This role is remote and can be executed globally. However, to facilitate working with the Safety team, we prefer candidates based in GMT to GMT+3 or UK. If you prefer, you can work from our offices in Dublin or London.
