Senior Engineering Manager, AI Platform

<div class="content-intro"><p><span style="font-weight: 400;">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.&nbsp;</span></p> <p><span style="font-weight: 400;">At Roblox, we’re 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.</span><strong> </strong><span style="font-weight: 400;">We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.&nbsp;</span></p> <p><span style="font-weight: 400;">A career at Roblox means you’ll 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.</span></p></div><p>The AI Platform team is building the unified platform that enables machine learning at a massive scale across all products and services. As a Senior Engineering Manager for the AI Platform, Data team, you will lead the development of the high-leverage data platform used by AI engineers, machine learning scientists, and product developers. You will be responsible for defining the long-term vision, strategy, and execution for the data foundation that powers the next generation of AI-driven products. This includes work on cutting-edge technologies like vector databases and knowledge graphs to enhance our data capabilities for advanced AI use cases.</p> <h4>You Will:</h4> <ul> <li>Lead and grow a high-performing team of software engineers, fostering a culture of ownership, collaboration, and engineering excellence.</li> <li>Define the roadmap, strategy, and execution plan for the GenAI Platform which handles LLM and agent infrastructure.</li> <li>Collaborate with AI engineering, machine learning science, and product teams to understand their data needs and deliver platform capabilities that accelerate development and deployment of traditional AI and Generative models.&nbsp;</li> <li>Drive architectural decisions and set technical standards for reliability, scalability, and performance</li> <li>Oversee the end-to-end development life cycle, ensuring timely delivery of high-quality, robust data solutions.</li> <li>Mentor and coach team members, providing continuous feedback and career development guidance.</li> <li>Manage cross-functional projects and communicate progress, risks, and challenges to leadership and stakeholders.</li> </ul> <h4>You Are:</h4> <ul> <li>A seasoned engineering leader with 5+ years of management experience and 8+ years of experience building large-scale, high-performance data platforms, machine learning infrastructure, or distributed systems.</li> <li>Experienced in hiring, managing, and mentoring senior software engineers and technical leaders.</li> <li>Deeply knowledgeable about data technologies (e.g., Spark, Hadoop, Flink, Kafka, distributed databases, data warehousing) and best practices for large-scale data processing and storage.</li> <li>Skilled at driving technical strategy and roadmap planning in ambiguous and fast-paced environments.</li> <li>Able to establish strong, collaborative relationships with cross-functional partners and senior leadership.</li> <li>Passionate about fostering a positive, inclusive, and high-energy engineering culture.</li> <li>Knowledgeable in the machine learning life cycle (MLOps) and the data requirements for training, serving, and monitoring models.</li> <li>A strong communicator, both written and verbal, capable of articulating complex technical concepts to a diverse audience.</li> </ul> <h4>Preferred Qualifications</h4> <ul> <li>A BS, MS, or PhD in Computer Science, or a related technical field.</li> <li>Experience with cloud-based data solutions (e.g., AWS, GCP, Azure).</li> <li>Experience with real-time data processing and stream computing technologies.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong><a href="https://careers.roblox.com/total-rewards">this page</a></strong>.</p></div><div class="title">Annual Salary Range</div><div class="pay-range"><span>$345,040</span><span class="divider">&mdash;</span><span>$399,420 USD</span></div></div></div><div class="content-conclusion"><p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p> <p>Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.</p> <p>For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.</p></div>