Software Engineering Manager, GenAI Quality, Photos

Google; New York (NY); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Equity

Competitive compensation

Job summary

Google is seeking a Software Engineering Manager for GenAI Quality in Photos. You will own outcomes and drive technical decisions across multi-team GenAI initiatives, guiding engineering efforts and ensuring scalable ML infrastructure.

You will mentor engineers, partner with product managers to shape features, and align engineering quality with product strategy across domains like AI, NLP, and distributed systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques or GenAI concepts.
• 2 years of experience in people management or team leadership.

Responsibilities

• Own the outcomes and technical decisions made by the team.
• Drive engineering quality and technical excellence across all team deliverables.
• Review technical designs and drive alignment for high-performing GenAI systems.
• Identify and allocate projects according to team skillset, interests, and availability.
• Collaborate with product managers to maximize quality for engineering effort and risk.

Skills

Leadership

GenAI concepts

ML design

Stakeholder influence

People management

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Software Engineering Manager, GenAI Quality, Photos

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Advanced

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

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with GenAI techniques (e.g., large language models, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, cross-functional organization.
• Experience in launching ML enabled product features to public users.

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.

Photos Ellmann team's mission is helping users thrive by unlocking the full value of a life's worth of photos.

The Ellmann Signals and Modeling team builds out and refines signals and agentic tools to support Photos AI features and Google-wide Personal Intelligence. We use multimodal large language models (LLMs), classical machine learning, and LLM-assisted workflows for data and evaluation, and do tons of prototyping. We ship with standard Google infra for large-scale data processing and serving -- ps1, server platform, and flume.

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.

Responsibilities

• Own the outcomes and technical decisions made by the team.
• Drive engineering quality and technical excellence across all team deliverables.
• Review technical designs and drive alignment for high-performing GenAI systems.
• Identify and allocate projects according to team skillset, interests, and availability.
• Collaborate with product managers to maximize quality for engineering effort and risk.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.