Senior Software Development Manager, Forward Deployed Development, GCP
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* Bachelor’s degree or equivalent practical experience.
* 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.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
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.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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