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X In 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

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.