Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience working with cross-functional teams and communicating to technical and non-technical audiences.
• Experience with operational planning and analysis.

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Ability to manage multiple assignments simultaneously, working independently and driving projects to completion with minimal guidance and high attention to detail.
• Ability to identify and drive process efficiency improvements.
• Ability to be a practical, independent problem-solver with curiosity, research, and fact-finding skills.
• Excellent organizational, project management, and written and verbal communication skills.

About the job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us - and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

The Shopping Data Program team drives engineering velocity and creates and manages exceptional operations that model, create, and annotate clean, useful product metadata to enable an outstanding user experience.

In this role, you will focus on the Attributes and Offers teams, which are responsible for understanding and annotating metadata to products at a high-quality level.

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.

The US base salary range for this full-time position is $122,000-$178,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Learn and build expertise in new processes and technical applications.
• Collaborate with Engineering to introduce internal applications and process changes of varying complexity.
• Prioritize and manage projects and deliverables effectively, and quickly adapt projects to changing processes and requirements.
• Analyze quality and performance, workflow efficiency, identify areas of improvement, drive appropriate action to resolution, and give feedback for tool improvement.
• Define, build, and optimize operations workflows to produce consistent, high-quality data.