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Restaurants are the heartbeat of Uber Eats, and our Acquisition team is responsible for scaling our footprint in some of the world's most competitive and nuanced markets. Our mission is to identify, pitch, and onboard high-potential local partners that will thrive on our platform and delight customers.
In this role, you will navigate the complex, high-stakes reality of B2B sales where there is no one-size-fits-all playbook. You'll need to earn trust fast, manage the resilience needed to handle constant "no's," and solve complex problems without a script. This is for someone who thrives on ownership and is energized by the challenge of building long-term partnerships in a fast-changing environment.
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What you'll do
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Own the full end-to-end acquisition cycle for prospective restaurant partners, from the first cold call through to negotiation, activation, and early growth support.
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Build relationships by understanding unique merchant business challenges and aligning Uber's value proposition with their specific goals.
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Navigate ambiguity and shifting priorities to unlock value for both the Restaurant Partner and Uber.
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Manage your sales pipeline with urgency and discipline, balancing quick wins with long-term trust-building
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Collaborate across Sales Operations teams to resolve blockers, and ensure a smooth merchant onboarding experience.
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Adapt your approach based on market dynamics and imperfect information, continuously testing new messaging to improve closing techniques.
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Time spent in the day
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40% Prospecting and cold-calling to build a high-volume pipeline.
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40% Lead qualification, pitching, and negotiating commercial terms.
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10% Cross-functional collaboration with Sales Operations for merchant activation.
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10% Administrative rigor, and data-entry in Salesforce.
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What you'll have
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Professional experience in B2B sales or business development.
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Proven track-record of conducting high-volume outbound cold calling and independent deal closing.
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Demonstrated resilience and a "go-get-it" attitude in a performance-driven sales environment.
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Fluency in the local language of the market, and professional proficiency in English.
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Ability to lead negotiations and manage commercial terms independently.
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High school diploma or equivalent experience.
Preferred Qualifications:
- Bachelor's degree
- Experience in the Food Delivery, Hospitality and Travel, Retail or FMCG industry.
- Familiarity with CRM systems like Salesforce
- Experience in a performance based compensation structure
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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