Job description

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, 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. We’re 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 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. We're building the data foundation that makes advertising on Roblox possible. As a Senior Engineering Manager you'll lead a team of engineers building the systems that turn raw signal into trustworthy, privacy-safe, actionable data across five connected domains: core data infrastructure, identity, measurement, audience targeting, and feature engineering for ML. This is a hands-on leadership role at the center of our monetization strategy. Your team's work determines whether advertisers can reach the right audiences, prove positive ROI, and trust the numbers we report, all while upholding the privacy and safety standards our platform is known for. You'll set technical direction, grow a high-performing team, and partner closely with product, data science, privacy/legal, and the broader Ads organization. You Will Build and lead a team of high-caliber software engineers. You'll be responsible for hiring, performance management, career development, and fostering an inclusive, high-output team culture. Set and communicate a multi-quarter technical roadmap across core data, identity, measurement, targeting, and the ML feature platform, and make the prioritization and buy-vs-build calls that keep the team focused on the highest-leverage work. Partner with product management, data science, ML engineering, privacy/legal, and adjacent Ads and Data Platform teams to translate business goals into a coherent, well-sequenced engineering plan. Raise the bar on engineering quality across system design, data correctness, reliability (SLAs/SLOs), and operational excellence for systems that run continuously at massive scale. Champion privacy-by-design and responsible data handling as a first-class requirement, not an afterthought, in every system your team builds. Represent your team's work and trade-offs to senior leadership, and communicate technical risk and progress clearly to both technical and non-technical audiences. You Have 8+ years in software engineering with 3+ years managing engineers, including hiring and performance management. Experience delivering large-scale distributed data systems, data pipelines, streaming/batch processing, and data stores handling high volume and low latency. Strong foundation in at least one of: identity resolution, ad measurement/attribution, audience targeting/segmentation, or feature/data pipelines for ML. Demonstrated ability to set technical direction and successfully lead teams through ambiguity Excellent cross-functional collaboration and communication skills Working knowledge of data privacy principles and regulations (e.g., GDPR, CCPA/CPRA, COPPA) and a genuine commitment to building privacy-safe systems. 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 this page . Annual Salary Range $345,040 — $399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). 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. 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.

Requirements

Must-haves

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.
Build and lead a team of high-caliber software engineers. You'll be responsible for hiring, performance management, career development, and fostering an inclusive, high-output team culture.
Partner with product management, data science, ML engineering, privacy/legal, and adjacent Ads and Data Platform teams to translate business goals into a coherent, well-sequenced engineering plan.
Raise the bar on engineering quality across system design, data correctness, reliability (SLAs/SLOs), and operational excellence for systems that run continuously at massive scale.
Champion privacy-by-design and responsible data handling as a first-class requirement, not an afterthought, in every system your team builds.
Represent your team's work and trade-offs to senior leadership, and communicate technical risk and progress clearly to both technical and non-technical audiences.
8+ years in software engineering with 3+ years managing engineers, including hiring and performance management.
Experience delivering large-scale distributed data systems, data pipelines, streaming/batch processing, and data stores handling high volume and low latency.
Strong foundation in at least one of: identity resolution, ad measurement/attribution, audience targeting/segmentation, or feature/data pipelines for ML.
Demonstrated ability to set technical direction and successfully lead teams through ambiguity
Excellent cross-functional collaboration and communication skills
Working knowledge of data privacy principles and regulations (e.g., GDPR, CCPA/CPRA, COPPA) and a genuine commitment to building privacy-safe systems.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision