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Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
$197,000 – $291,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

Lead and manage the Personalization and User Modeling Infrastructure team at Google Ads, overseeing an end-to-end user modeling platform used across ads systems for personalization, model training and serving. Coordinate across multiple ads teams (YouTube Ads, Discover, Gmail, etc.) to execute the personalization roadmap and deliver high-impact projects. Provide technical leadership and hands-on contribution to design and coding, mentor engineers, and manage multi-site teams and budgets while collaborating with cross-functional stakeholders. Drive scalable, low-latency systems and ownership of high-visibility initiatives.

Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

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  • Email a friend
GoogleMountain View, CA, USA
Advanced
  • Copy link
  • Email a friend

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.

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.

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.

Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
$197,000 – $291,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

Lead and manage the Personalization and User Modeling Infrastructure team at Google Ads, overseeing an end-to-end user modeling platform used across ads systems for personalization, model training and serving. Coordinate across multiple ads teams (YouTube Ads, Discover, Gmail, etc.) to execute the personalization roadmap and deliver high-impact projects. Provide technical leadership and hands-on contribution to design and coding, mentor engineers, and manage multi-site teams and budgets while collaborating with cross-functional stakeholders. Drive scalable, low-latency systems and ownership of high-visibility initiatives.

Software Engineering Manager, Ads Personalization, User Modeling Infrastructure

  • Copy link
  • Email a friend
GoogleMountain View, CA, USA
Advanced
  • Copy link
  • Email a friend

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.

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.

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.

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