Software Engineer, Product - Ads Infra and Ranking

Meta•Menlo Park, CA

1d•$183,997 - $257,000

About The Position

Meta's Ads organization builds systems that help businesses reach people likely to care about their offerings. The Ads Infra and Ranking organization owns the technical foundation for ad ranking, retrieval and serving, and the underlying data, training, and inference infrastructure, with a focus on compute efficiency, reliability, privacy, and using AI to accelerate development. As a Software Engineer, Product in Ads Infra and Ranking, you will lead complex product engineering projects that make Ads platforms easier for engineering users to use and integrate. You will build product experiences and supporting services, translating platform capabilities into clear workflows and dependable interfaces that support the development, evaluation, and operation of Ads systems.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions.
Demonstrated experience driving change within an organization and leading complex technical projects.
8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.

Nice To Haves

6+ years of relevant experience building large-scale applications or similar experience.
Experience building developer-facing or technical-user products that simplify complex platform workflows.
Experience designing product interfaces and supporting APIs for applications integrated with distributed systems or ML platforms.
Experience in programming languages such as C, C++, Java, Swift, or Kotlin, and scripting languages such as Python, Javascript, or Hack.
Experience improving product quality through code review, testing, controlled rollout, monitoring, and proactive changes.
Demonstrated ability to integrate AI tools into product engineering workflows and drive measurable efficiency or quality improvements.
Experience applying responsible AI practices, including risk assessment and quality and accuracy reviews, when developing or using AI-assisted capabilities.
Demonstrated ongoing AI skill development, including prompt/context engineering or agent orchestration, and evaluation of emerging technologies for engineering use.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Design and deliver product experiences and supporting services that help engineering users work effectively with Ads platforms.
Translate user needs and platform constraints into clear workflows, interfaces, and implementation plans.
Lead complex product engineering projects across application and service boundaries, coordinating dependencies with platform partners.
Use product instrumentation, user feedback, and data analysis to identify workflow friction and evaluate improvements.
Build maintainable, testable product software and improve reliability through code review, rollout monitoring, and iterative development.
Partner with engineering, product, design, and data science functions as appropriate to align technical solutions with user and platform outcomes.
Mentor engineers and help new team members ramp up in relevant codebases and workflows, strengthening the team's ability to deliver high-quality work.