Senior Software Engineering Manager, Search AI Quality and Protections
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 8 years of experience with software development.
- 5 years of experience in a people management or team leadership role.
- Experience in AI/ML quality evaluation and improvement.
- Experience with applied machine learning and ML training and serving.
Preferred qualifications:
- 5 years of experience working in a complex, matrixed organization.
- Experience managing a high-performing team of software engineers and managers.
- Experience with data analysis, quality, and experimentation.
- Experience in content safety, digital well-being, or trust and safety issues.
- Familiarity with Large Language Model (LLM) capabilities and applications.
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.
Search Intelligence Trust team is responsible for the integrity and reliability of Google’s most advanced Search features, including AI Overviews, AI Mode, and classic Search ranking. We ensure that as Generative AI is integrated into the Search experience, it maintains our high bar for accuracy and safety. Our work bridges the gap between model capabilities and the rigorous quality standards required for Google's most trusted product.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Set and communicate team priorities that support the broader Search organization's goals. Align strategy, processes, and decision-making across teams.
- Ensure that our Search experiences are state-of-the-art (SOTA) in trustworthiness and safety.
- Empower Search to deliver rich new experiences (e.g., Personal Intelligence, Generative UI) and provide solutions to the novel trust and safety challenges that are currently present.
- Manage a team of over 20 engineers, setting their technical direction, coaching them, and ensuring the delivery of key Search goals.
- Collaborate closely with partner teams across Search and Google Deepmind (GDM) on modeling, infrastructure, and evaluation needs.
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.
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.