Tech Lead Manager, Ads Conversion Infrastructure

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.

As a part of the Conversion Infrastructure team, you will build the industry's leading platform for conversion tracking, attribution, and measurement validation. You will provide advertisers with a unified, privacy-safe view of the customer journey, helping them maximize marketing investments and making the digital ecosystem more intelligent and efficient.

As a part of the Backend and Data-Out Infrastructure team, you will engineer the systems connecting core attribution intelligence with the broader Google Ads ecosystem, and you will be responsible for planet-scale data processing, designing systems handling over a trillion daily events from Google Ads, Floodlight, and Google Analytics, advanced attribution modeling, applying DDA and incrementality models to transform raw events into actionable performance insights, bidding and reporting integration, engineering high-fidelity pipelines delivering attributed data to power automated bidding and reporting, and privacy-centric Innovation, pioneering next-generation AI interfaces enabling real-time optimization with user privacy at the core.

Google Ads is at the forefront of AI innovation, applying 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

• Drive the architectural goal and execute the multi-year technical strategy for our unified attribution data-out platform, scaling stateful streaming pipelines processing over one trillion events per day across Google Ads, Google Analytics, and Google Marketing Platform.
• Pioneer next-generation and agentic measurement experiences, leading technical explorations and architecture for privacy-centric data-out capabilities to enable closed-loop intelligence between attribution, reporting, and automated bidding.
• Lead cross-organizational technical partnerships with senior engineering and product leaders across Bidding, Reporting, Analytics, and Privacy to align on system boundaries and simplify architectures.
• Manage and grow a team of software engineers, fostering a culture of technical excellence, psychological safety, and career development.
• Drive improvements in end-to-end pipeline latency, fault tolerance, data fidelity, and compute efficiency across large-scale distributed storage and stream-processing systems.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software design and architecture.
• Experience with distributed systems and coding in C++.
• Experience designing, building, or operating data pipelines or storage systems that process data (e.g., petabyte datasets, or stream processing systems handling billions of events per day).
• People management experience.

Preferred qualifications:

• Master's degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience designing and implementing large-scale data processing pipelines and databases (SQL/NoSQL) with strict adherence to data privacy, governance, and security standards (e.g., implementing data minimization, encryption at rest/transit, or data access controls).
• Experience collaborating with cross-functional partners (e.g., Product Management, Engineering, Data Science, and Sales) to design, launch, or optimize digital advertising products or monetization platforms.
• Experience working with Generative AI.
• Experience working with FlumeC++.