Tech Lead Manager, Merchant Shopping, AI/ML Insights and Growth

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.

We guide merchants to success with tailored insights on demand, pricing, audience, and participants. Our team empowers merchants with data-grounded simulations and actionable intelligence, spanning real-time pricing elasticity to business-critical decision modeling, from simulating foot traffic impacts of new menu items to projecting ROI on extended store hours. Our infrastructure operates at hyper-scale, serving 5 trillion pricing inferences daily across in-memory distributed pipelines.

As Tech Lead Manager, you'll lead a team building core pricing insights and a decision simulation engine that drives growth for businesses of all sizes, an early-stage project with broad future potential.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.

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.

• Architect and optimize distributed, high-performance in-memory pipeline processing, maintaining a low-latency compute footprint.
• Lead modeling evolution for pricing elasticity, conversion value, and profit models; expand architectures to support counterfactual business simulations for SMB decision-making.
• Interface with Google Ads auction pipelines, inference stacks, and bidding mechanics to optimize pValue and ad rank.
• Own technical oversight for first-party Google Channel integrations (e.g., Shopify Admin APIs, theme architectures, token workflows).
• Set design standards, drive code reviews, mentor engineers, and lead the project from early stage to scale, driving long-term roadmap/OKRs, cross-functional partnership (Merchant Shopping, Research, Ads Bidding, gTech, Sales), and a strong culture of engineering excellence.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in backend software development and system architecture.
• 2 years of experience directly managing a team of software engineers, including performance evaluations, career growth, and project delivery.
• Experience coding in C++ and Java.
• Experience building, deploying, and maintaining large-scale machine learning models or high-throughput data pipelines in production.

Preferred qualifications:

• Experience in Ads Bidding or Ads Quality architectures.
• Experience developing simulation engines, pricing elasticity models, causal inference, or counterfactual decision-support systems.
• Experience leading initiatives from early-stage to scale, standing up technical infrastructure from scratch, and collaborating cross-functionally.
• Advanced SQL/big data analytics background with expertise in offline evaluation metrics and production A/B testing.
• Deep expertise in C++ system optimization, distributed memory management, and high-throughput/low-latency batch and stream pipelines.