Senior Analyst, AI Workflows & Automation

Every day tens of millions of people come to Roblox to explore create play learn and connect with friends in 3D immersive digital experiences all created by our global community of developers and creators.

At Roblox were building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together from anywhere in the world and on any device. Were on a mission to connect a billion people with optimism and civility and looking for amazing talent to help us get there.

A career at Roblox means youll be working to shape the future of human interaction solving unique technical challenges at scale and helping to create safer more civil shared experiences for everyone.

As an AI Workflow Specialist on the Trust & Safety Operations team you will be the bridge between product operations and other relevant teams. You will be required to create workflows using AI to design prototype and scale highimpact automations. You will translate operational pain points into welldesigned AI workflows partner closely with product and engineering and build the evaluation frameworks that ensure these automations are safe reliable and measurable.

You Will:

• Partner with the Subject matter experts across the Support Ops and Shared service teams to understand the current gap and brainstorm on the desired solution.
• Map and document existing workflows to identify highleverage automation opportunities and clearly define current vs. future state.
• Design AIaugmented workflows that combine LLM agents existing rules engines and human review to improve speed quality and consistency
• Prototype and iterate AI solutions using internal and external (accepted) tooling (e.g. Claude and other LLMs internal agentic/AI workflow platforms and Builder AI code intelligence) to turn workflow designs into working agents or automations.
• Define success metrics and evaluation plans (e.g. automation rate handle time reduction error/rollback rate reviewer satisfaction) and build or integrate with eval pipelines to measure agent performance over time.
• Partner with product engineering and operations to prioritize use cases scope requirements and align AI workflows with product roadmaps and control/compliance expectations.
• Operationalize launches: contribute to playbooks runbooks and training so that operations teams can use AI agents confidently and understand when and how to intervene or escalate.
• Continuously improve workflows by monitoring performance surfacing insights and iterating on prompts policies routing and UX to keep systems robust as volumes abuse patterns and regulations evolve.
• Champion safe and secure AI usage partnering with security and compliance stakeholders to ensure AI workflows respect data handling access controls and regulatory constraints especially as AI workloads increase.

You Have:

• 5 years of experience in technical operations data science/analytics or product/engineering roles with at least 2 years working directly with workflow automation rules engines or tooling for operations teams.
• Demonstrated experience designing implementing or maintaining complex business workflows
• Strong technical fluency: comfortable reading and writing simple scripts or code (Python or similar) working with APIs and collaborating closely with engineers to ship workflow changes and integrations.
• Handson experience with LLMbased tools (e.g. Claude) or other AI platforms including prompt design evaluation and iteration to improve quality and reliability.
• Strong analytical skills with experience defining metrics building dashboards or analyses and using data to make prioritization and design decisions.
• Excellent crossfunctional communication skills; able to translate between operations product engineering and finance and to write clear specs runbooks and status updates.

Good To Have:

• Experience in Trust & Safety compliance or risksensitive workflows (e.g. safety queues fraud government or law enforcement requests regulatory reporting).
• Prior work evaluating AI agents or automation quality (e.g. building eval suites goldlabel sets or reviewer workflows to monitor agent decisions).