Staff Software Engineer, Ads Enterprise Platform

Socket.dev; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a senior software engineer to join the Ads Enterprise Platform team in the US. You will help build the next-generation cross-channel ads platform based on generative AI technology, focusing on multi-agent coordination, model retraining, and large-scale system design.

You will collaborate with senior leads across the Ads organization, own major design tradeoffs, and drive engineering health and cross-team alignment while mentoring the next generation of engineers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning).
• Experience in prompt engineering, or multi-agent systems.
• Experience integrating generative AI tools or LLM interfaces into workflows.

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.

Skills

Software development

Testing and launching software

ML design and ML infrastructure

Prompt engineering

Multi-agent systems

Integrating generative AI tools

Education

Bachelor's degree or equivalent

Master's degree or PhD in Engineering/CS/related field

Job description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning).
• Experience in prompt engineering, or multi-agent systems.
• Experience integrating generative AI tools or 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.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 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 the next-generation cross-channel ads buying platform based on generative AI technology. Project areas include building and tuning the 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 senior 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: $207000 - $300000 (USD) + 20% 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.