Director of Engineering, Business Messaging Optimization

Meta; Menlo Park (CA); Presencial; USD 260.000 - 380.000; Jornada completa

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's Business Messaging team helps businesses meaningfully engage their customers through messaging on WhatsApp, Messenger, and beyond. Marketing messages are one of the fastest-growing parts of Meta's business: businesses use them to re-engage the customers who opted in to hear from them, through the WhatsApp Business Platform APIs, Ads Manager, and Meta's own business tools.

We are looking for a Director of Engineering to lead Marketing Messages Optimization: the end-to-end delivery funnel behind every marketing message. This org owns signals, ranking, auction and pricing, and delivery infrastructure. It decides which message reaches which person, when, how often, and at what price, balancing value for businesses with a high-quality experience for people. The role combines large-scale ads ranking and auction systems with the unique constraints of a messaging surface: a limited, opted-in audience, strong privacy commitments, and a high bar for user experience.

You will lead a multi-team organization of engineering managers and senior engineers, set multi-year technical strategy, and partner closely with Ads, Business Agent, WhatsApp teams as well as across several functions including data science, product, and privacy across Meta. This is a high-impact, revenue-critical role at the intersection of monetization and messaging. 10+ years of technical industry experience in software engineering 7+ years of engineering management experience, including managing other engineering managers Demonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partners Track record of building and scaling engineering organizations across multiple teams or product areas Experience in establishing engineering strategy and roadmaps that span multiple teams and cross-functional partners Experience diagnosing and resolving complex organizational health challenges, including retention, team structure, and leadership development Experience driving measurable revenue impact through machine learning and infrastructure investments, validated through rigorous online experimentation Experience operating revenue-critical systems through peak traffic and spend periods Experience with notifications, messaging, or other supply-constrained surfaces where frequency, timing, and user fatigue matter Experience with large-scale candidate retrieval and serving systems, including capacity and efficiency tradeoffs Experience with auction mechanism design, reserve pricing, bidding and pacing, or quality and integrity modeling in ads systems Advanced degree in Computer Science, Machine Learning, Economics, or a related field Experience building machine learning systems under privacy constraints or limited signal availability Experience leading organizations that build large-scale ads ranking, auction, pricing, or ads delivery systems Experience setting technical direction across organizational boundaries, with key dependencies owned by partner teams