Ads Specialist - Google Shopping Ads

Position: Performance Ads Specialist - Google Shopping Ads

About The Role

The Performance Ads Specialist - Google Shopping Ads will sit within the CPG Advertising Operations Team, fully dedicated to enabling Uber's Offsite Ad offerings via Google Merchant Center. This position requires comfort working in a fast-paced environment, proactive ownership of CPG and SMB advertising accounts, and a deep understanding of Offsite media models. We are looking for candidates who are ready to roll up their sleeves, dive headfirst into ambiguous situations, and lead with a data-driven approach to drive performance at scale.
What

You'll Do
• Cross-Functional Collaboration:

Work closely with Product Operations, Engineering, Technical Operations, and GTM teams to enable and scale Google Shopping Ads across all Advertising business lines
• Expansion & Strategy:
Own campaign management and operational process development for additional Offsite Media opportunities - including, but not limited to Meta, Tik Tok, and You Tube
• Feed & Account Integrity:
Monitor product feed health and account statuses. Proactively identify and resolve disapprovals or price/availability mismatches, taking the lead in troubleshooting technical hurdles with Uber's engineering teams
• Creative Optimization:
Continuous optimization of campaigns and Offsite media offerings; enriching item titles and descriptions to ensure Uber's offsite listings remain highly competitive
• Data-Driven Insights:
Utilize performance reporting and analytics to understand how external traffic drives conversion and GMV back to the Uber app/site
• Innovation & Testing:
Collaborate on brand strategies, A/B testing, and innovative product enhancements with internal and external stakeholders to stay ahead of retail media trends
• Campaign Strategy & Execution:
Design and manage Performance Max (PMax) and Standard Shopping campaigns dedicated to offsite conversion
• First-Party Data Integration:
Work with our data teams to utilize our platform's audience signals for enhanced targeting and RLSAs (Remarketing Lists for Search Ads)
• Feed Optimization:
Transform raw product data into high-performance feeds using internal catalog tools and manual supplement feeds to improve "Quality Score" + CTR
• Performance Analysis:
Monitor and report on key metrics including ROAS, iROAS (Incremental ROAS), CPA, and Share of Voice
• Stakeholder

Collaboration:

Act as the technical subject matter expert for our Sales and Account Management teams when pitching offsite capabilities to top-tier brand partners
Basic Qualifications
• 3+ years of experience in advertising operations, performance ads, or related operational roles
• 1+ years of experience working with Google Shopping Ads within Google Merchant Center (GMC)
• Bachelor's Degree
Preferred Qualifications
• Previous experience working with complex and dynamic product catalogs. Familiarity with how to work cross-functionally with various stakeholders to investigate, troubleshoot and evolve shopper experiences on the Uber Eats app
• Strong understanding of how product feeds are pulled and being comfortable working in technical settings. Does not shy away from working closely with Product/Engineering teams to troubleshoot bugs or elevate platform issues
• The ability to build processes and SOPs from scratch. Having a deep understanding of different client KPIs and ability to explain different attribution models
Compensation and Benefits

For Chicago, IL-based roles:
The base salary range for this role is USD $95,500 per year - USD $106,250 per year. For New York, NY-based roles:
The base salary range for this role is USD $106,000 per year - USD $118,000 per year. For San Francisco, CA-based roles:
The base salary range for this role is USD $106,000 per year - USD $118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

More details can be found at the following link:
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