Why This Job is Featured on The SaaS Jobs
Safety engineering is becoming a core platform function for SaaS products that embed generative AI, where trust, abuse resistance, and policy enforcement must operate at production scale. ElevenLabs sits in that category as an AI platform with developer and enterprise usage, making moderation and guardrails part of the product surface rather than a back-office concern. This role stands out because it treats safety as infrastructure, spanning APIs, pipelines, and runtime systems that directly shape how an AI SaaS can be safely consumed.
For a SaaS career, the work maps closely to durable platform engineering themes: taking systems from initial architecture through deployment, observability, and performance targets. Building SLIs and SLOs around safety workflows also develops a metrics-first operating model that transfers across modern SaaS environments, especially those running real-time services. The interface between ML research outputs and dependable production services is particularly relevant as more SaaS teams operationalise AI features.
The strongest fit is for engineers who enjoy end-to-end ownership and are comfortable making technical tradeoffs where reliability and risk reduction matter. It will suit someone who prefers building foundational services, partnering closely with ML and product stakeholders, and iterating based on monitoring signals rather than one-off launches.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 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. 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 andto monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.
What you'll do:
Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, 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.
Requirements
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)
Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines
Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems
Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production
Bonus:
Trust & Safety, Content Moderation, or Integrity engineering experience
MLOps experience: deployment, monitoring, and versioning of ML models
Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures
Familiarity with React or modern frontend frameworks
Location
This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
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