채용
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Parental leave
•401(k) matching
•Flexible work arrangements
•Healthcare
•Parental Leave
•Flexible Hours
Required Skills
JavaScript
PostgreSQL
Python
About the Role Marketplace is a team within the Rides Lat Am Central Operations organization, dedicated to optimizing our operations. Earners and riders are the people who connect in our marketplace-and we manage both sides, ensuring competitive pricing and accurate pick-up times for our riders, while also guaranteeing equitable earnings and optimal utilization for our drivers. Our goal is to strike the right balance between growth and profitability; this requires judgment to make difficult trade-offs, blending algorithms with human ingenuity, and the ability to create simplicity from complexity.
As the Marketplace Allocation and Core-Pricing Lead, you will be the primary architect of our structural pricing strategy across Lat Am. You are the "Chief Arbitrator" of the marketplace, navigating high-stakes trade-offs across all stakeholders. In this role, you will influence through excellence, using best-in-class frameworks and economic modeling to guide Global Tech and Regional Leadership toward the right strategic choices. You will be the primary liaison with Product teams, translating regional constraints into the technical features that define our structural pricing and investment allocation.
What the Candidate Will Need:
- *Architect the Strategic Framework: Design the overarching logic and decision-making frameworks for core pricing in Lat Am. You will define "what good looks like" for our marketplace, ensuring our pricing models balance rider affordability with driver sustainability.
- *Arbitrate Complex Trade-offs: Act as the lead strategist in resolving the tension between growth and profitability. You will provide the data-backed recommendations that help leadership decide where to lean in with investments and where to prioritize margin.
- *Bridge the Gap with Global Tech: Serve as the primary regional voice to Global Product and Engineering teams. You will translate Lat Am's unique market nuances into technical requirements, influencing the global roadmap for structural pricing features and automated allocation tools.
- *Design Investment Logic: Develop the methodologies for how we allocate large-scale incentives. You will ensure that capital is deployed not just based on volume, but on sophisticated models of elasticity and long-term marketplace health.
- *Synthesize Complexity into Strategy: Transform vast datasets and complex algorithmic behaviors into clear, executive-level narratives. You will enable regional leaders to make informed decisions by creating "simplicity from complexity."
- *Drive Modeling Excellence: Set the standard for economic modeling within the team. You will guide Operations Managers in building high-fidelity simulations that predict the impact of pricing changes on the broader ecosystem.
- *Influence through Evidence: Build high-trust relationships with cross-functional partners (Finance, Marketing, and City Leads) by using rigorous logic and best-in-class frameworks to align the organization behind a unified marketplace strategy.
- *Lead and Elevate High-Performing Talent: Manage a team of elite Operations Managers, acting as a "force multiplier" for their work. You will challenge their thinking, sharpen their modeling rigor, and ensure their insights are translated into high-impact strategic recommendations.
- *Cultivate a Culture of Rigor: Foster an environment that prizes intellectual honesty and analytical excellence. You will mentor the team in "creating simplicity from complexity," ensuring that even our most sophisticated technical work is accessible and actionable for the broader business.
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Basic Qualifications
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7+ years of professional experience in strategy, operations, consulting, product/tech, or growth-focused roles.
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Robust technical skills and analytical thinking: Intermediate SQL required, ability to scope and guide complex analyses/models
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Strong business judgment, analytical depth, and ability to synthesize data to inform strategy and drive decision-making.
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Skilled at driving alignment across functions and influencing without authority.
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Excellent communication and stakeholder management skills, with experience influencing senior leadership.
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Demonstrated experience managing individual contributors and scaling or developing teams.
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Preferred Qualifications
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Experience managing initiatives across multiple markets or geographies.
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Proven ability to set strategic vision, define initiatives and OKRs, and build, develop, and lead high-performing teams.
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Advanced analytical capabilities, including knowledge of statistics and proven proficiency in SQL and Python.
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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