Safety Engineer - Free Tier Abuse

About Eleven Labs Eleven Labs  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 $11B - multiples of 11, always.

We have expanded from voice into three main platforms:

• Eleven Agents 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.

• Eleven Creative 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.

• 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.

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

• Learning & development: the company 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.

We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of the company' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up.

This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.

• Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems

• Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows

• Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks

• Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite

• Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.

Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale

• 6+ years of backend software engineering experience building production systems at scale

• Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks)

• Infrastr…