About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, you'll own several pieces of the infrastructure and will be responsible for the comprehensiveness and quality of the Shopping Graph. You'll be responsible for defining the strategy and partnering with teams to leverage Machine Learning-based approaches to scale data extraction systems.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world.

Responsibilities

• Provide technical guidance and lead an engineering team with a focus on Data mining, Experiments, Logging, Metrics, and the associated infrastructure, on-call rotations, and cross-product area client support.
• Define metrics and develop roadmaps for improving buyable corpus comprehensiveness and quality.
• Partner with counterparts in Search and Core Infrastructure organizations to leverage horizontal tools and negotiate partnerships and roadmaps which increase their utility for Shopping use-cases.
• Create infrastructure and programs which enable step-function improvements in Shopping corpus.
• Partner with various groups throughout Shopping to support success.