Назад
1 месяц назад

Senior Engineering Manager (Ads Data Platform)

345 040 - 399 420$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Engineering Manager (Ads Data Platform): Building privacy-safe data systems for Roblox advertising across infrastructure, identity, measurement, audience targeting, and ML feature engineering with an accent on distributed data processing, reliability, and responsible data handling. Focus on setting technical direction, leading a high-performing engineering team, and designing trustworthy data foundations that operate at massive scale.

Location: San Mateo, California, United States. Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

Salary: $345,040–$399,420 USD annual base pay, plus equity compensation and benefits.

Company

Roblox develops a platform for creating and experiencing 3D digital worlds, supporting a global community of developers and creators.

What you will do

  • Build and lead a high-performing team of software engineers, including hiring, performance management, and career development.
  • Set a multi-quarter technical roadmap across core data infrastructure, identity, measurement, audience targeting, and ML feature engineering.
  • Make prioritization and buy-versus-build decisions for high-leverage advertising data initiatives.
  • Partner with product management, data science, ML engineering, privacy/legal, Ads, and Data Platform teams.
  • Raise engineering standards for system design, data correctness, reliability, SLAs/SLOs, and operational excellence at massive scale.
  • Communicate technical risks, progress, and trade-offs to technical and non-technical senior stakeholders.

Requirements

  • 8+ years of software engineering experience and 3+ years managing engineers, including hiring and performance management.
  • Experience delivering large-scale distributed data systems, data pipelines, streaming and batch processing, and high-volume, low-latency data stores.
  • Strong knowledge of identity resolution, ad measurement or attribution, audience targeting or segmentation, or ML feature and data pipelines.
  • Ability to set technical direction and lead teams through ambiguity.
  • Strong cross-functional collaboration and communication skills.
  • Working knowledge of GDPR, CCPA/CPRA, COPPA, and other data privacy principles.

Culture & Benefits

  • Inclusive, high-output engineering culture focused on career development and responsible data practices.
  • Privacy-by-design and safe data handling are core requirements for platform development.
  • Full-time employees are eligible for equity compensation and benefits.
  • Future H-1B sponsorship may not be supported for this role.

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