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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will lead the engineering efforts to integrate and scale advertising experiences on Waze using the Google Ads tech stack. You will mentor the team of engineers providing technical direction for critical initiatives in Waze Ads and build upon the foundations of promoted pins in navigation, unlock new inventory sources like In-Car Projected Mode, Roaming Mode, Search Ads for Waze while addressing unique challenges such as Digital Markets Act (DMA) compliance in the EU and optimizing Store Visit Rates (SVR).

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.

The US base salary range for this full-time position is $197,000-$291,000 + 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 about benefits at Google.

Responsibilities

• Lead and mentor engineers while fostering technical excellence and innovation. Set technical goals and roadmaps for Waze Ads, aligning with Maps business goals.

• Oversee the design of scalable, high-quality systems and advocate best practices like reliability and testing. Be accountable for end-to-end delivery, including design, coding, deployment, and experiments.

• Partner with Product and UX to prioritize initiatives and translate requirements into technical plans. Manage project scope, resources, risks, and dependencies for efficient execution.

• Coordinate with Geo, Waze, and other teams to deliver integrated solutions. Communicate technical trade-offs to stakeholders and influence alignment across engaged priorities.

• Propose new opportunities in location-based advertising and explore emerging technologies. Use data-driven analysis and experiments to optimize products for user experience and business.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience programming in JavaScript or TypeScript.

• 8 years of experience programming in Java or C++.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications

• Experience working in full stack development and ML systems.

• Experience optimizing system performance (latency, throughput, efficiency) and ensuring reliability.

• Experience leading technically challenging, cross-functional infrastructure projects from inception to production deployment and operation.

• Knowledge of designing, productionizing and debugging complex, large-scale distributed systems.

• Knowledge of Ads infrastructure, distributed systems, and large-scale back-end services.

• Excellent problem-solving, investigative, and communication skills.