Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

Minimum Qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in AI/ML related engineering, developing, deploying, managing, and maintaining machine learning infrastructure.
• 2 years of experience in a people management or team leadership role.
• Experience working in the digital advertising industry.

Preferred Qualifications:

• Experience building end-to-end solutions either in an infrastructure or product-based team.
• Experience building and testing highly-scalable distributed systems or low-latency/streaming batch systems.
• Experience collaborating with cross-functional teams in a global organization and managing stakeholders.
• Ability to take full ownership and execute highly-visible projects.

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.

In this role, you will work on the Personalization and User Modeling Infrastructure, an end-to-end user modeling platform used by all ads serving systems impacting business generation. You will work with user profiles and features generated through this infrastructure by thousands of profilers built by various clients that feed directly into ad serving for personalization, model training and model serving. You will contribute to improving ads personalization and relevance, one of the highest priority work streams across YouTube Ads, Discover, Gmail, Search Ads and Display Ads, as we develop the next generation of user modeling platforms to be used by all Ads teams.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $197,000-$291,000 + 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.
The US base salary range for this full-time position is $197,000-$291,000 + 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

• Collaborate with other executive leads across the organization (e.g., YouTube Ads, Discover, Gmail, etc.) to execute the ambitious personalization roadmap.
• Lead the evaluation, scoping, and execution of high-impact, time-sensitive projects.
• Deliver technical work, including design and coding.
• Design and propose simple, maintainable solutions for ambiguous, subtle, or technical problems.
• Mentor and provide direct technical leadership to various software engineers within the team.