Principal Engineer, Ads Measurement

About the Role

Key Responsibilities

• Lead and mentor engineering teams, inspiring innovation and excellence, while fostering future technical leaders within the organization.
• Architect and implement strategies to refine advertiser experiences and launch user-centric products.
• Guide and evaluate complex technical plans, ensuring alignment with Pinterest's strategic objectives and operational efficiency.
• Proactively manage project milestones, anticipate risks, and adapt strategies to ensure timely, successful delivery.
• Oversee projects that improve developer efficiency, service reliability, and engineering quality, promoting best practices in software architecture.
• Cultivate strong relationships with key stakeholders, ensuring alignment with business goals, and drive consensus on strategic initiatives.
• Lead development initiatives leveraging new generative AI models and strategies to enhance product offerings, ensuring alignment with business goals.
• Champion best practices and drive architectural improvements that enhance system performance and extensibility.

Requirements

• Masters or Bachelor's degree with relevant experience in computer science or a closely related discipline.
• 10+ years of professional experience in software engineering.
• 5+ years of professional experience in machine learning engineering.
• Robust comprehension of advertising technology.
• Demonstrated ability to lead significant technical initiatives across organizations, with an emphasis on scalability, quality, and maintainability.
• Recognized as a thought leader, driving strategic outcomes while promoting a culture of accountability and diversity.
• Proven experience shipping products which leverage generative AI technologies.
• Fundamental understanding of machine learning systems and the capacity to guide decisions regarding build, leverage, or acquisition.

Nice to Have

• Experience with scaling and maintainability of large technical initiatives.
• Experience working in a remote or hybrid work environment.

Qualifications

• Degree in computer science or a closely related discipline.
• Extensive experience in software engineering and machine learning.

Benefits & Perks

• Position is eligible for equity.
• Base salary range from $233,302 to $480,328 USD, with final salary based on location, experience, and skills.
• Flexible work model with key moments of in-person collaboration.
• Inclusive and equitable workplace culture.