Principal Engineer, Ads Measurement

Posted 9 months agoViewed

233302.0 - 480328.0 USD per year

USRegularSoftware Development

Company:Pinterest

Location:US

Languages:English

Seniority level:Lead, 10+ years

Experience:10+ years

Skills:

AWSBackend DevelopmentLeadershipProject ManagementData MiningMachine LearningSoftware ArchitectureAlgorithmsAPI testingData engineeringData StructuresCI/CDRESTful APIsData modelingSoftware EngineeringData analytics

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.

Responsibilities:

Lead and mentor engineering teams, inspiring innovation and excellence, while fostering future technical leaders within the organization.
Architect and implement cutting-edge strategies to refine advertiser experiences and launch user-centric products.
Guide and evaluate complex technical plans, ensuring they align with Pinterest’s strategic objectives and elevate 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 that leverage 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.