Software Engineering Manager, Business AI Agent

Google Inc.; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Mountain View, CA, USA is seeking a Software Engineering Manager for Business AI Agent to lead AI-enabled engineering efforts. You will own the roadmap, mentor engineers, and influence product strategy across information retrieval, AI, NLP, and distributed systems.

The role emphasizes leadership in building LLM-based AutoRater frameworks, RAG integrations, and scalable agent platforms to achieve measurable commerce outcomes at scale.

Qualifications

• Bachelor’s degree in Computer Science or related field or equivalent practical experience.
• 8 years of experience coding in one or more general-purpose programming languages (e.g., Python, Java, C++, Go) focused on backend system architecture.
• Experience building automated LLM evaluation pipelines, automated rating systems (AutoRaters), or defining LLM-specific reliability metrics (grounding, helpfulness, safety, and hallucination/error reduction).
• Experience with backend, distributed systems, or AI/ML systems infrastructure.
• Experience managing software engineers, including performance management, mentoring, and team growth.

Responsibilities

• Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.
• Lead Knowledge Library and merchant control engineering, building advanced RAG integrations for custom agent behavior.
• Oversee autonomous execution tooling and UCP integration to enable active user journeys (catalog lookups, universal carts, reservations).
• Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.
• Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.

Skills

Backend systems

Leadership

LLM evaluation pipelines

Distributed systems

Mentoring engineers

Education

Bachelor's degree in Computer Science or related field

Master's or PhD (preferred)

Tools

AutoRaters

LLM tooling

Job description

Software Engineering Manager, Business AI Agent

Google Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience coding in one or more general-purpose programming languages (e.g., Python, Java, C++, or Go) focused on backend system architecture.
• Experience building automated LLM evaluation pipelines, automated rating systems (AutoRaters), or defining LLM-specific reliability metrics (e.g., measuring grounding, helpfulness, safety, and hallucination/error reduction).
• Experience with backend, distributed systems, or AI/ML systems infrastructure.
• Experience managing software engineers, including performance management, mentoring, and team growth.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience developing, calibrating, and productionizing LLM-based AutoRater frameworks or automated regression testing.
• Experience designing agentic tooling and integrating agents with commerce platforms.
• Expertise in conversational AI architectures, agent orchestration harnesses, and Retrieval-Augmented Generation (RAG) for knowledge libraries.
• Track record of technical leadership partnering with Product Management, Data Science, and UX to build "Ground Truth" datasets and performance-tracking dashboards.

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.

The Business Agent team powers Google’s Agentic Commerce strategy by building the AI platform behind seamless merchant-consumer interactions across Search, YouTube, Ads, and Messaging. We turn conversational AI into measurable commerce outcomes for millions of businesses worldwide.

We solve complex, high-scale AI issues to build fast, reliable, and intelligent agent experiences. Optimize multi-turn AI reasoning loops and tool-calling pipelines for real-time responsiveness. Develop robust data pipelines for the Merchant Knowledge Library to power accurate Retrieval-Augmented Generation (RAG). Build automated evaluation frameworks and AutoRaters to continuously measure conversation quality and factuality at scale.

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.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.
• Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior.
• Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations).
• Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.
• Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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, 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.

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.

The Business Agent team powers Google’s Agentic Commerce strategy by building the AI platform behind seamless merchant-consumer interactions across Search, YouTube, Ads, and Messaging. We turn conversational AI into measurable commerce outcomes for millions of businesses worldwide.

We solve complex, high-scale AI issues to build fast, reliable, and intelligent agent experiences. Optimize multi-turn AI reasoning loops and tool-calling pipelines for real-time responsiveness. Develop robust data pipelines for the Merchant Knowledge Library to power accurate Retrieval-Augmented Generation (RAG). Build automated evaluation frameworks and AutoRaters to continuously measure conversation quality and factuality at scale.

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.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation.
• Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior.
• Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations).
• Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality.
• Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, analytical dashboards, and model upgrade standards.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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, 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.