Job Description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in a technical leadership role; overseeing projects.
• 5 years of experience in a people management, supervision/team leadership role.
• 2 years of experience with GenAI techniques (e.g., large language models, multi-modal, large vision models) or GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Computer Science, or a related technical field.
  
• 5 years of experience working in a cross-functional organization.
• Experience in developing highly available, low-latency, and scalable distributed systems for real-time communication.
• Experience leading complex, cross-functional projects to build and deploy advanced AI agents using Generative AI/LLMs, and managing relationships with external customers.

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.

Customer support is undergoing a fundamental transformation, moving from manual processes to AI-driven, intelligent interactions. Our team directly develops AI customer support agents that match or surpass the quality delivered by human agents. We develop aimed AI agents for key business problems. We embrace this approach in Applied AI and work with a growing set of customers to help them build customer support agents for chat, voice and beyond.

In this role, you will guide this mission-critical team. You will define the future of customer interaction, leading a team at the forefront of applied AI in a fast-moving environment.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Responsibilities

• Lead, mentor, and grow a high-performing team of developers, foster a culture of high velocity, innovation, and technical excellence.
• Be at the forefront of developing AI agents working closely with our growing set of customers and applying domain expertise in building AI agents in the domain of customer support.
  
• Serve as the team's key technical leader, understand complex system design, performance, and reliability issues to guide the team to robust solutions.
• Define the technical roadmap for integrating the AI agents into various ecosystems of first-party and third-party chat and voice surfaces.
• Work closely with the Applied AI product and quality teams and with our partners in Google Deep Mind by fostering an action-oriented and agile environment to accelerate development and execution in a rapidly evolving domain.