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 make complex advertising tasks easier to complete.
- Lead complex product engineering projects across application and service boundaries, aligning partners on scope, trade-offs, and delivery.
- Use 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 the product's codebases, workflows, and engineering practices through practical guidance and feedback.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, 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 experience with a PhD
Preferred Qualifications
- 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
$183,997/year to $257,000/year + bonus + equity + benefits