Senior Software Engineer, Campaign Automation, Google Ads (Mandarin) - Singapore

Product area

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.

Job description

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.

Additional job description

In this role, you will involve in the technical strategy, scoping, and outcomes for one or more work streams. You will be navigating relationships across product, business, gTech, and various Ads infrastructure teams. You will work with China and Asia-Pacific (APAC) Global Business Organization (GBO) teams to understand major issues for customers in the region to enable improvements and win Statement of Work (SOW). You will enable product and technical evolutions based on learning and apply the solution to the general advertiser base.

Qualifications

Job responsibilities

• Lead technical strategy and outcomes for major work streams like new user acquisition and feed serving optimization, and go beyond immediate projects, impacting teams with engaging priorities to achieve program goals.
• Design and execute experiments to optimize ad serving, bidding models, and retrieval systems.
  
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Collaborate with cross-functional partners to resolve customer escalations and technical headwinds.
  
• Guide Generative Artificial Intelligence (GenAI) solutions for asset generation and influence designs across program goals.
  

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with developing ads buying platforms, such as campaign automation, optimization, insights and performance diagnosis.
• 3 years of development experience with Google's ads ecosystem, including targeting, bidding, serving systems, and data analysis tools, across backend, such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 1 year of experience with architecting and developing large-scale distributed systems or Ads infrastructure.
• Ability to communicate in Mandarin fluently to collaborate with regional partners and clients.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
  
• Experience with driving business impact through engineering optimizations.
• Experience with GenAI integration into production workflows for large-scale customers.