R

Senior Engineering Manager, Ads Data Platform

Roblox
NewPosted today

LOCATION

San Mateo · Onsite

EXPERIENCE

8+ Years

TYPE

FullTime

SALARY

$345.04K - $399.42K /year

SKILLS REQUIRED

distributed systemsPeople ManagementData PipelinesData PrivacyTechnical Leadership

Job description

Overview

Lead a team of engineers building the data platform that powers advertising on Roblox, spanning core data infrastructure, identity, measurement, audience targeting, and feature engineering for ML. This is a hands-on leadership role at the center of Roblox's monetization strategy.

What you'll do

  • Build and lead a team of high-caliber software engineers, including 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 prioritization and buy-vs-build decisions.
  • Partner with product management, data science, ML engineering, privacy/legal, and adjacent Ads and Data Platform teams to translate business goals into a coherent engineering plan.
  • Raise the bar on engineering quality across system design, data correctness, reliability (SLAs/SLOs), and operational excellence for systems running continuously at massive scale.
  • Champion privacy-by-design and responsible data handling as a first-class requirement in every system your team builds.
  • Represent your team's work and trade-offs to senior leadership, and communicate technical risk and progress to both technical and non-technical audiences.

What you'll need

  • 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.

Details

  • Location: San Mateo, CA, United States (headquarters).
  • Office presence: onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
  • Annual base salary range: $345,040 to $399,420 USD, plus equity eligibility and benefits. Actual pay depends on job-related factors and may fall outside this range.
  • For US-based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Read the full description and apply on the company’s own careers page.

Stay safe

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Senior Engineering Manager, Ads Data Platform