Client Partner, Uber Advertising - Restaurants

Client Partner, Uber Advertising - Restaurants Department: Sales & Account Management Team: Sales Location: Chicago, United States ## About the Role As a Client Partner with Uber Advertising, you will be a strategic seller, responsible for building mutually beneficial ads partnerships with Global Delivery Brand partners. You will lead the ads sales strategy for Yum brands and drive adoption of an expanding suite of ads offerings across our Mobility and Delivery platforms. You will work closely with cross functional partners to consistently deliver on our partners needs. This role is for someone who thrives in the messy reality of doing big things. You will lead with impact by connecting brand partners to our global mission, but you must also be ready to handle the pressure of shifting priorities and internal complexity. We need a strategic seller who possesses the grit to manage months of persistence and trust-building while maintaining the adaptability to pivot when market dynamics change. If you are energized by high-stakes challenges and want to help write the playbook for how brands move with Uber, this is where you’ll grow. ## What You’ll Do - Navigate internal complexity and shifting priorities to unlock massive value for Yum! Brands and Uber, ensuring our partnership strategies exceed quarterly growth goals. - Build and grow long-term relationships with Director, VP, and C-level marketing executives by deeply understanding their business journey—not just making a pitch. - Scale ads product adoption by clearly communicating the value of our evolving suite with a lens of creativity that differentiates our offering in a competitive market. - Unblock challenges and resolve friction by collaborating cross-functionally with Product, Marketing, and Operations teams to ensure we deliver on promises. - Lead difficult partner conversations and tough negotiations with resilience, staying steady through the inevitable "no" to reach a mutually beneficial "yes". - Own your pipeline with urgency and discipline, balancing the "messiness" of data-driven decision-making with the need for high-impact,