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Program Manager II, Tech, Data Collection

Uber

Program Manager II, Tech, Data Collection

Uber

Amsterdam, Netherlands

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

401(k) matching

Team events and activities

Flexible work arrangements

Professional development budget

Equity

Healthcare

Flexible Hours

Learning

Required Skills

Python

JavaScript

TypeScript

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

View Company Profile

About the Role

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber's GSS (Global Scaled Solutions) org, now externally known as Uber AI Solutions, leads many of those capabilities such as data annotation, generation and evals for AI/ML innovation, app testing, localization/internationalization, map editing, digitization programs and more. We combine technology and human intelligence optimally to run these scaled programs. To do this efficiently and with high quality, we have built industry leading tech and ops muscle and have now externalized the same.

The tech+ops solution coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. We have seen a lot of positive traction and demand from enterprises as we incubated this business and now are looking to grow this into a meaningful business line for Uber. While we do this, we look forward to creating flexible earnings opportunities through digital tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

One of the capabilities we are growing is data collection - both in field and remote - with customers across Gen AI, Autonomous Vehicles, Mapping, Telco, CPG/Retail and more. With unparalleled access to our earner network globally and tech capabilities, we aim to be a leader in the space and are looking for experts to help build and shape this capability.

About the role

We are building one of the most scalable, high-quality data collection engines powering the next generation of AI. Our projects span audio, image, video, LiDAR, text, and multimodal datasets, across dozens of countries and environments.

We are looking for a Program Manager to own and drive complex, multi-country data collection programs end-to-end.

This role is ideal for someone who has thrived in startup environments where speed, hustle, and creative problem-solving matter more than rigid process. You will manage diverse contributor networks, oversee global operations, and ensure datasets meet strict client standards and high quality, at scale.

What you will do

  • Program Management and Ownership: Translate client SOWs into executable programs - scope, timelines, budgets, workforce model, and quality control frameworks.
  • Execution Excellence: Solve operational bottlenecks in real time - whether it's participant churn, equipment issues, location access, or low-quality submissions - and ensure program delivery and success. Build processes, systems and playbooks that help scale data collection programs systemically
  • Quality & Compliance: Ensure data meets specs, surpasses accuracy thresholds, and complies with privacy/consent/data protection laws globally.
  • Stakeholder Management: Act as the program point of contact with clients, internal teams, and external vendors. Provide progress reports, risk assessments, and mitigation plans.
  • Analytics & Reporting: Monitor collection KPIs via dashboards, identify issues early, and drive corrective action.
  • Continuous Improvement: Codify learnings into playbooks and SOPs for repeatability and faster future deployments.
  • Cross-functional collaboration and influence: Influence our tech roadmap to build a world class data collection engine. Work with privacy, legal, ops and supply teams to unlock new use cases, markets and scale programs

Basic Qualifications

  • 5+ years Experience in program management or operations
  • Exposure to AI/ML data programs, sensors, or field data collection.
  • Multi-country operations experience
  • Proven track record managing large-scale distributed programs, ideally in data, logistics, field operations, or crowdsourcing.

Preferred Qualifications

  • Strong program management fundamentals - planning, governance, risk management.
  • Hands-on hustler who thrives in ambiguity and doesn't wait for perfect instructions.
  • Exceptional stakeholder management - from C-level clients to field contributors.
  • Data-driven operator - comfortable with metrics, dashboards, and root-cause analysis.
  • Bias for action, resilience under pressure, and ability to work across cultures and geographies.

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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Client-provided location(s): Amsterdam, Netherlands

Job ID: Uber-151147

Employment Type: FULL_TIME

Posted: 2026-01-27T19:55:18
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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

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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