nnArchitect, and lead the development of Zynga’s programmatic ads platformBuild, direct, guide and review the work of the Programmatic Ads platform, including integration to external partners, and related data pipeline full-stack engineering team.Lead a cross-functional team of engineers and data scientists to rapidly iterate and deliver key milestones in an agile environmentWork closely with the executive leadership of UA, Central Product, and Ad monetization to develop and execute on ad technology strategy for Zynga.Work with fast-paced initiatives, overseeing projects from idea conception and strategy development to deployment, production, and operations.Work closely with other stakeholders to define requirements and translate them into high-performance and scalable architectures.Partner with Product Management to drive the Ads and Data Platform engineering roadmap.Partner with User Acquisition team and Game Studios to extend, maintain, scale, and deliver products that meaningfully optimizes acquisition costs.Partner with Data Science and Analytics teams to leverage insights from in-game performance into ML-based bidding models.Partner with Program Management to produce project schedules and communicate progress.Partner with other engineering leaders – data engineering, game engineering, central.Align software engineering practices and products with measurable business objectives.This is a hands-on role.
You’ll lead your team by example, creating POCs to demonstrate ideas, peer code reviews, contributing to production systems support and feature development.nn nnQualificationsnn nnPrevious relevant experience as an Architect, Staff Engineer or Technical DirectorComprehensive knowledge of real time ad technologies and platformsRequired experience working in highly scalable (>100k QPS) web services at low latency and data engineering.
Experience with ideation to launch of programmatic ads products within an organization is required.Strong architecture design skills especially using AWS cloud technologies.Prior 10+ years of development experience in Java, C#, C++ or equivalent technologies.Prior experience building ML models and deploying at scaleStrong knowledge of Agile project management principles and how it applies to software engineering practice from development to version control, code review, artifact creation, release management.Knowledge of Big Data technologies such as Redshift, Spark, Kinesis, Athena, Hadoop is required.Knowledge of and desire to work in a DevOps oriented software organization with the ability to design, deploy, and support a full-stack service solution in the cloud.nn