About the role
We’re looking for a Performance Marketing Manager II to lead the strategy, execution, and optimization of Google App Campaigns (UAC) across Uber’s global businesses. This role will focus on driving efficient app acquisition and re-engagement while identifying opportunities to improve how we optimize, measure, and scale performance across Google’s app ecosystem.
The ideal candidate combines strong performance marketing expertise with analytical and technical curiosity, and is comfortable operating within highly automated advertising products. They will partner closely with Google and cross-functional teams including Product, Engineering, Ad Tech, Data Science, and Marketing Strategy to develop new capabilities, improve measurement, and unlock incremental growth.
Success in this role requires strong analytical and problem-solving skills, the ability to independently drive complex initiatives, and clear communication with both technical and business stakeholders.
What you’ll do
- Manage and optimize global Google App Campaigns across Uber’s businesses, driving performance against acquisition, engagement, and efficiency goals.
- Own the strategic roadmap for UAC, identifying and developing opportunities across bidding, audience signals, campaign structure, inventory, measurement, and new Google products.
- Develop and lead experimentation to understand incrementality, improve optimization signals, and identify scalable opportunities for growth.
- Partner with Product, Engineering, Ad Tech, and Data Science teams to improve measurement, automation, bidding, and campaign management capabilities.
- Build a strong partnership with Google, evaluating new products and capabilities, influencing product development where relevant, and translating platform opportunities into actionable strategies for Uber.
- Use performance data, experimentation, and business context to identify opportunities, diagnose performance changes, and make informed investment and optimization decisions.
- Lead and communicate complex cross-functional projects related to measurement, testing, optimization, and overall channel health.
- Drive process improvements and scalable operating mechanisms with a focus on simplicity, productivity, and impact.
Basic Qualifications
- Bachelor’s degree or equivalent experience.
- 7+ years of experience in performance marketing, mobile user acquisition, paid search, or app advertising in a fast-paced, high-growth environment.
- Experience managing Google App Campaigns, Google Ads, or other automated/performance-based advertising platforms.
Preferred Qualifications
- Strong understanding of mobile media buying, app campaign optimization, conversion signals, campaign tracking, and attribution.
- Experience working with automated bidding and machine-learning-driven advertising products.
- Strong analytical skills with working knowledge of Excel and/or SQL and the ability to translate complex datasets into actionable decisions.
- Understanding of mobile measurement frameworks, including attribution, incrementality testing, and privacy-related measurement constraints.
- Experience developing and evaluating experimentation frameworks to determine causal impact and incremental performance.
- Technical familiarity with ad tech, measurement, and marketing analytics platforms.
- Experience with both user acquisition and re-engagement strategies in mobile app environments.
- Ability to independently lead ambiguous, complex projects and influence cross-functional partners without direct authority.
- Strong communication skills, with the ability to explain complex technical or analytical topics clearly to different audiences.
- Data-driven mindset with strong curiosity about how automated advertising systems work and how their inputs, signals, and constraints can be improved.
For New York City, NY-based roles: The base salary range for this role is USD $159,000 per year - USD $177,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $159,000 per year - USD $177,000 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.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Uber San Francisco, California, USA Office
Uber's a hybrid work environment and employees target spending 50% of their time in the office.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
