Software Engineering Manager, Merchant Shopping, Agency Growth

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Our mission is to drive success for agencies and their merchants and thereby creating a win-win-win scenario for Google.

The team has built and launched Merchant Center for Agencies which recently launched globally in May 2026. Press links1 (https://www.thekeyword.co/news/google-merchant-center-agencies) ,2 (https://www.seroundtable.com/google-merchant-center-for-agencies-global-41302.html) linkedIn:1 (https://www.linkedin.com/posts/thomaseccel_ppc-googleads-merchantcenter-share-7438123134744150017-Sz2_/) , 2 . We now have 1000+ agencies that spend ~$XB in ad spend on our platform. Lead a critical area for advertising agencies aligned with Commerce goals. This is an opportunity to lead an early stage project with broad future potential and growth.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

Responsibilities

• Build AI forward experiences for Agencies. Lead the strategic investment in up leveling Agencies as first class citizens.
• Lead the build out of a scalable backend and frontend infrastructure to generate and serve Key Performance Indicators (KPIs), insights and recommendations for Agencies.
• Lead the project from its early stage to scale. Create and drive longer term strategy, roadmap and Objectives and Key Results (OKRs).
• Work cross-functionally with various teams to land and deliver large cross-functional projects.
• Establish a strong culture of engineering excellence on the team. Help build and lead a team of strong engineers.

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree, or equivalent practical experience.

• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience integrating generative AI tools or LLM interfaces into workflows., * Master's degree or PhD in Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience with building full stack products and leading new initiatives which requires standing up the infrastructure from scratch.
• Experience with releasing, deployment, logging, debugging and experimentation.
• Experience with Flume and large-scale data processing pipelines.
• Experience with RPC services, database, and distributed systems.