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.
Local Ads have been one of the fastest growing Ads products (including Local Services Ads, Map Ads, and Local Top Ads), generating billions of business for overall Search Ads.
In this role, you will focus on issues of user experience and advertiser Return on Investment (ROI) problems while partnering with different sub-teams in the organization. You will help advertisers, who have previously used traditional methods and channels for their advertising needs, to find new business through Google's Local Ads products.
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 $262,000-$365,000 + 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
- Identify and create proposals of large business generation opportunities within the Local Ads space.
- Get buy-in from stakeholders both within the organization and across various partner teams by running analyses and analyzing overall feasibility.
- Lead the design and development of Local Ads products and their respective features.
- Design experiments in order to adapt the products and features to the needs of our advertisers and users.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience working with an online advertising platform or other ads products.
- Experience in data analytics with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, or predictive analytics.
Preferred qualifications:
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
- Experience with machine learning or artificial intelligence, as well as large-scale distributed systems.