Software Engineer, Product, Ads Products

About the Role

The Meta Ads organization builds systems that help businesses reach their target audience. As a Software Engineer, Product in Ads Products, you will lead complex engineering projects to help advertisers plan, create, and manage their campaigns. You will build reliable product experiences and supporting services by partnering with product, design, data science, and engineering teams to translate advertiser needs into software that improves workflows and delivers measurable value.

Key Responsibilities

• Design and deliver advertiser-facing features and workflows for campaign planning, creation, or management.
• Translate advertiser needs into product interfaces, supporting services, and technical designs that simplify complex advertising tasks.
• Lead complex product engineering projects across application and service boundaries, aligning partners on scope, trade-offs, and delivery.
• Utilize product instrumentation, experiments, and advertiser feedback to evaluate usability, reliability, and business outcomes.
• Build maintainable and testable software, improving quality through code review, rollout controls, and production monitoring.
• Partner with product, design, data science, and engineering teams to identify opportunities and iterate on shipped capabilities.
• Mentor engineers and help new team members ramp up on product codebases, workflows, and engineering practices.

Requirements & Tech Stack

• 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.
• 6+ years relevant experience building large-scale applications or similar experience.
• Experience building advertiser-facing, business-facing, or analogous products with complex creation and management workflows.
• Experience partnering with product, design, and data science teams to translate user needs into features and evaluate product outcomes.
• 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 product capabilities.
• Demonstrated ongoing AI skill development, including prompt/context engineering or agent orchestration, and evaluation of emerging technologies for product engineering use.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.

Qualifications

• 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.