Senior Staff Software Engineer, Ads Enterprise Platform Team

Google LLC

  • Kirkland, WA
  • 3 days ago

    Highlights

    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. Project areas include building and tuning our multi-agent platform, instrumenting model retraining based on user actions, building digital consumer persona forecasting, Google Cloud integration and deployment, long-term memory and session management, and multi-user collaboration.

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    LocationKirkland, WA

    Description

    Senior Staff Software Engineer, Ads Enterprise Platform Team - Google Careers

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    Senior Staff Software Engineer, Ads Enterprise Platform Team

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    corporate_fareGoogleplaceKirkland, WA, USA

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

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    XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

    • Health, dental, vision, life, disability insurance
    • Retirement Benefits: 401(k) with company match
    • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
    • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
    • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
    • Baby Bonding Leave: 18 weeks
    • Holidays: 13 paid days per year

    Minimum qualifications:

    • Bachelor's degree or equivalent practical experience.

    • 8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

    • 8 years of experience with ML design and ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning).

    • Experience with prompt engineering or multi-agent systems.

    • Experience integrating generative AI tools or large language model (LLM) interfaces into workflows.

    Preferred qualifications:

    • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
    • 8 years of experience with data structures and algorithms.
    • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
    • 5 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
    • Experience developing joint plans, driving alignment on shared goals, and navigating dynamic development environments to balance short-term benefits with long-term visions.

    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.

    On the Ads Enterprise Platform team, you will help build our next-generation cross-channel ads buying platform based on generative AI technology. Project areas include building and tuning our multi-agent platform, instrumenting model retraining based on user actions, building digital consumer persona forecasting, Google Cloud integration and deployment, long-term memory and session management, and multi-user collaboration. You will work directly with executive leads within the Enterprise Platform and across the wider Ads organization to launch features for top advertisers and agencies.

    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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Drive the long-term engineering strategy, incorporating organizational business priorities and technological shifts while leveraging AI capabilities.
    • Own key technical decisions based on your expertise to guide the team through important design tradeoffs.
    • Improve the organization"s technical health by ensuring the right investments are made to remove widely-felt barriers to productivity.
    • Work cross-functionally to ensure alignment and re-use across the Ads platforms while making decisions that are best for the overall business.
    • Grow the next generation of technical leaders through direct coaching and scalable mentorship initiatives.

    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.

    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.

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