Senior Software Engineer, Google Cloud Generative AI Blackbelt Team

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.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.

• Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.

• Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.

• Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience in a people management role within software engineering.

Preferred qualifications:

• Master's degree in Engineering, Computer Science, or a related technical field.

• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.

• Experience building scalable end to end software architectures that use Agentic or GenAI driven capabilities.

• Understanding of responsible AI practices.