Staff Software Engineer, Youtube Ads Surfaces and Experiences

Google Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer to lead YouTube Ads Surfaces and Experiences. You will shape long-term engineering strategy for format optimizations and new experiences, and drive high-impact architectural decisions.

You will act as a de facto authority on major systems, guiding teams through complex design tradeoffs while focusing on scalable, reliable platforms across 100+ engineers. You’ll collaborate across functions to advance ads technology and AI capabilities.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure.
• 5 years of experience with design and architecture along with testing and launching software products.
• Experience working within Ads.
• Experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or related concepts.

Responsibilities

• Drive the long-term engineering strategy for enabling format optimizations and new experiences.
• Act as a de facto authority on major systems and guide the team through design tradeoffs.
• Own key technical decisions and mentor teams across engineering, quality, and client infrastructure.
• Identify system hotspots and invest in improvements to remove barriers to productivity.
• Foster cross-functional collaboration with directors and leaders to align on strategy.

Skills

Software development

Project leadership

GenAI techniques

Ads experience

System architecture

Education

Bachelor's degree

Job description

Staff Software Engineer, Youtube Ads Surfaces and Experiences

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corporate_fare YouTube place Mountain View, CA, USA

Advanced

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

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X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree or equivalent practical experience.


• 8 years of experience in software development.


• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).


• 5 years of experience with design and architecture along with testing and launching software products.


• Experience working within Ads.


• Experience with state of the art GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.


• Experience leading full stack engineering, distributed systems teams, or quality teams, effectively leading technical strategy and scaling architecture.


• Ability to strategically anticipate and mitigate obstacles in ambiguous or rapidly shifting environments.


• Exceptional communication and collaboration skills to align agendas and strategy with cross-functional directors and leaders.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be responsible for driving the long-term engineering strategy for enabling format optimizations, new experiences, incorporating organizational business priorities and technological shifts, such as new AI capabilities.

You will act as a de facto authority on major systems and drive the engineering strategy for a critical technical area of great importance to YouTube Ads. Operating with excellent judgment and minimal oversight, you will uncover and address ambiguous, complex, and large-scale technical problems. Your role involves thinking strategically over long time horizons, establishing consensus across divergent teams, and driving technical and process improvements across an organization of over 100+ engineers. You will need to take data driven approaches along with focusing on making our systems scalable, safer, more reliable, and highly robust.

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.

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

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be responsible for driving the long-term engineering strategy for enabling format optimizations, new experiences, incorporating organizational business priorities and technological shifts, such as new AI capabilities.

You will act as a de facto authority on major systems and drive the engineering strategy for a critical technical area of great importance to YouTube Ads. Operating with excellent judgment and minimal oversight, you will uncover and address ambiguous, complex, and large-scale technical problems. Your role involves thinking strategically over long time horizons, establishing consensus across divergent teams, and driving technical and process improvements across an organization of over 100+ engineers. You will need to take data driven approaches along with focusing on making our systems scalable, safer, more reliable, and highly robust.

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.

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 .

• Drive the long-term engineering strategy, incorporating organizational business priorities and technological shifts, such as new AI capabilities.


• Own key technical decisions based on your expertise, guiding the team through important design tradeoffs, short term/long term strategy, system health, and risk management.


• Identify system hotspots to improve the organization's technical health, ensuring the calculated investments are made to remove widely-felt barriers to productivity/feature throughput.


• Invest in growing the next generation of technical leaders through direct coaching and scalable mentorship initiatives.


• Work cross-functionally to ensure features are built consistently across different surfaces working closely with other teams, quality, client infrastructure teams while balancing specific platform constraints to make decisions that are best for the business overall.

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.

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.