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Benefits & Perks
•Team events and activities
•Parental leave
•Flexible work arrangements
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Parental Leave
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Required Skills
Python
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APAC Go-To-Market Lead
- Uber Eats
1 week ago• Sydney, Australia
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About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
Size: 10000+ employees
Industry: Technology
#Great Minds Don't Think Alike
At Uber, we take pride in our diversity and working environment that sees you as more than just a person that can do the job, but a unique individual that can level up our organisation with a perspective only you can offer. Uber provides a truly open culture that encourages all to voice their thoughts!
About The Team: The APAC Delivery Commercial Operations (DCO) team partners closely with Account Management, Sales, and regional leadership to drive sustainable growth across Uber Eats in markets including Japan, Taiwan, Australia, New Zealand, and Sri Lanka. We focus on how we grow with existing merchants, expanding portfolios, launching additional sites, and ensuring our GTM models are clear, scalable, and fit for local market realities. APAC is one of Uber's most competitive and complex regions, requiring strong commercial judgment, data-led decision making, and tight alignment across markets.
About The Role: This role defines how we grow with existing merchants, from segmentation and coverage models to Expansion First Trips, portfolio growth, and long-term account value. You will operate as the regional connective tissue between DCO, Account Management, and GTM leadership, bringing clarity to where we focus, how teams are structured, and how Expansion performance is measured and managed. This is a senior, high-autonomy role with direct exposure to regional executives and meaningful influence over APAC's commercial direction.
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Your Impact in Role:- Define and evolve the regional GTM strategy for Account Management Expansion, including merchant segmentation, archetypes, and coverage models.
- Lead quarterly and annual planning for Expansion GTM, translating regional priorities into targets, resourcing assumptions, and execution plans.
- Build and standardise Expansion operating rhythms across APAC, including forecasting, pipeline visibility, business reviews, and executive reporting.
- Deliver clear, executive-ready insights on Expansion performance, trade-offs, and growth opportunities to regional and functional leadership.
- Partner with Sales Enablement, Analytics, Finance, Product, and local market leaders to improve tooling, reporting, and execution of Expansion initiatives.
Coach and develop strategists and analysts supporting Expansion GTM, setting high standards for analytical rigor and strategic thinking.
The Experience You'll Bring:
- Extensive experience in Sales Operations, Revenue Operations, or Sales Strategy roles, supporting senior sales leaders in high growth or matrixed environments
- Strong analytical skill set, including SQL and advanced Excel or Google Sheets, with experience producing executive level performance reporting
- Proven ability to run forecasting, pipeline reviews, and sales cadences, and clearly communicate insights to cross functional and executive stakeholders
- Experience operating across multiple markets, with strong project management skills and the ability to influence without authority across diverse teams
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.
Client-provided location(s):Sydney, Australia
Job ID: Uber-151244
Employment Type: FULL_TIME
Posted: 2026-01-20T00:30:34
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Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
Fertility Benefits:
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
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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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