Director of Engineering, Marketing Messages & Monetization

Meta

Menlo Park (CA)

Presencial

USD 260.000 - 380.000

Jornada completa

14 días+

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Descripción de la vacante

Meta is seeking a Director of Engineering to lead Marketing Messages Optimization. You will oversee a multi-team engineering organization, define long-term technical strategy, and collaborate with Ads, WhatsApp, data science, product, and privacy teams.

The role focuses on monetization within a messaging surface, balancing user experience and revenue impact. You will drive large-scale ML-driven decisions, design auction and pricing mechanisms, and ensure reliable delivery during peak traffic.

Formación

  • 10+ years of technical software engineering experience.
  • 7+ years of engineering management experience.
  • Experience delivering large-scale impact leveraging ML and cross-functional partners.
  • Experience with auction mechanisms, reserve pricing, bidding, pacing, or quality/integrity modeling in ads systems.
  • Experience operating revenue-critical systems through peak traffic and spend periods.

Responsabilidades

  • Lead a multi-team organization of engineering managers and senior engineers.
  • Set multi-year technical strategy and roadmap across teams.
  • Partner with Ads, WhatsApp, Data Science, Privacy, and Product organizations.
  • Drive measurable revenue impact through ML and infrastructure investments.

Conocimientos

Engineering leadership
Machine Learning
Ads ranking
System design
Cross-functional collaboration
Performance optimization

Educación

Advanced degree in CS/ML/Economics

Herramientas

ML systems
Ads infrastructure

Descripción del empleo

Meta is seeking a Director of Engineering to lead Marketing Messages Optimization. You will oversee a multi-team engineering organization, define long-term technical strategy, and collaborate with Ads, WhatsApp, data science, product, and privacy teams.

The role focuses on monetization within a messaging surface, balancing user experience and revenue impact. You will drive large-scale ML-driven decisions, design auction and pricing mechanisms, and ensure reliable delivery during peak traffic.

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