Agentic AI Software Engineering Manager, POps Engineering AI Foundation

Google LLC; San Jose, New York (CA, NY); Sur place; USD 262 000 - 364 000; Plein temps

Résumé du poste

Google LLC in San Jose is seeking an Agentic AI Software Engineering Manager for POps Eng to lead a team building autonomous AI infrastructure. You will define team goals, guide advanced AI research, and drive production-ready systems across Google’s workforce lifecycle.

You will mentor engineers, align product strategy with engineering execution, and ensure scalable, low-latency delivery while managing multi-site teams and budgets.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience managing and developing managers.
• 8 years of experience designing software architecture for applications, including AI/ML systems.
• 8 years of experience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• 5 years of experience in a people management, supervision/team leadership role.

Responsabilités

• Direct the goal and execution for agentic AI architectures, applying modeling techniques, RL, RM, and classifiers to improve accuracy.
• Lead, grow, and mentor a team of AI/ML software engineers on algorithm design and deployment.
• Bridge applied AI research and production deployment through oversight of tuning, evaluation, and serving infrastructure.
• Improve product excellence and reliability using telemetry and benchmarks across agentic workflows.
• Collaborate with developers, product managers, and internal stakeholders to remove bottlenecks and raise quality.

Connaissances

AI architectures

RL/LM methods

People management

Engineering leadership

Formation

Bachelor’s degree or equivalent practical experience

Outils

ML systems infra

RL tooling

Description du poste

Agentic AI Software Engineering Manager, POps Engineering AI Foundation

Share Agentic AI Software Engineering Manager, POps Engineering AI Foundation

Google San Jose, CA, USA ; New York, NY, USA

X In most instances, this position requires in-person interviews as part of the hiring processNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in managing and developing managers.
• 8 years of experience designing software architecture for applications, including AI/ML systems.
• 8 years of experience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• 5 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• 15 years of software engineering management experience building and managing technical engineering teams.
• 5 years of experience applying advanced AI methods, modeling architectures, and alignment strategies to increase accuracy.
• Experience managing software or AI applied research engineers working on fine tuning, modeling, serving, and agentic workflows.
• Experience with reinforcement learning, reward model development, and classifier algorithms.
• Experience presenting technical strategy to cross-functional partners and executive leadership.

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.

As a Software Engineering Manager in People Operations Engineering (POps Eng), you will lead a team building the autonomous systems and intelligence infrastructure that power the entire Google workforce lifecycle. You will set the technical goal for your team, guiding the application of advanced AI and LLM research to engineer resilient, low-latency production systems. Your leadership will be critical in solving challenges in multi-step reasoning, high-throughput orchestration, and organizational complexity at Google scale.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

As a Software Engineering Manager in People Operations Engineering (POps Eng), you will lead a team building the autonomous systems and intelligence infrastructure that power the entire Google workforce lifecycle. You will set the technical goal for your team, guiding the application of advanced AI and LLM research to engineer resilient, low-latency production systems. Your leadership will be critical in solving challenges in multi-step reasoning, high-throughput orchestration, and organizational complexity at Google scale.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

• Direct the goal and execution for agentic AI architectures, applying modeling techniques, Reinforcement Learning (RL), Reward Models (RM), and custom classifiers to significantly suppress hallucinations and achieve high-accuracy task execution.
• Lead, grow, and mentor a highly specialized team of experienced AI/ML software engineers working on advanced algorithm design, model tuning (LoRA/SFT), and agentic deployment.
• Bridge applied AI research and production deployment by overseeing engineers driving fine-tuning, reward model alignment, continuous evaluation, and agent serving infrastructure.
• Leverage telemetry, offline/online benchmarks, and developer tooling to improve product excellence, production reliability, and engineering execution velocity across agentic workflows.
• Partner closely with developers, product managers, and internal business owners across Google to identify productivity bottlenecks, coverage gaps, and quality issues.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.