Tech Lead Manager, Full-Stack, Display and Video 360 Inventory and Deals

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.

Display and Video 360 (DV360) is Google's cross-exchange real-time bidding buying platform, providing enterprise agencies and global advertisers access to billions of ad impressions per day.

As a Tech Lead Manager (TLM) in the DV360 Inventory and Deals team, you will lead an engineering team building advertiser-facing frontends, distributed B2B partner APIs, and AI-based intelligence features.You will act as the technical owner for how premium programmatic deals are negotiated and executed globally. You will guide technical strategy across our AI-powered natural language discovery roadmap, collaborate directly with engineers at external exchanges on API specifications, and ensure our 24/7 infrastructure scales reliably. You are expected to design, build, and launch features around 50% of the time.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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

• Manage and mentor a sub-team within the DV360 Inventory and Deals organization (up to direct reports), fostering technical excellence, leadership, and strong engineering velocity.
• Lead the end-to-end system architecture and implementation of user-facing products and partner-facing APIs across Java, Spanner, and Angular/Dart.
• Partner directly with external ad exchanges, major publishers, and cross-Google teams to standardize and expand Google's Seller and Deal Sync APIs.
• Drive architectural modernization across our data and serving layers, deprecating legacy synchronous dependencies in favor of robust, event-driven, push-down query architectures.
• Balance strategic people leadership with direct technical contribution.

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.

• 5 years of experience with full-stack development, across back-end (e.g., Java, Python, Golang, C++) and front-end (e.g., JavaScript, TypeScript, HTML, CSS).

• 3 years of experience with software design and architecture.

• Experience in people leadership or team management and management.

Preferred qualifications:

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

• 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 or strong interest in integrating LLMs or recommendation systems into production user experiences.

• Demonstrated strong technical background as a full-stack or backend engineer with experience building large-scale, high-availability distributed systems.