Engineering Manager, Fulfillment Matching and Indexing Team

  • San Francisco, CA
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
USD 223,000.00 - 248,000.00 per year
Full Time

Skills

Real-time
Distributed Computing
FOCUS
Scalability
Strategic Leadership
Team Building
Mentorship
Accountability
IT Strategy
Roadmaps
Regulatory Compliance
Delivery Management
Cost Accounting
Benchmarking
Collaboration
Data Science
Optimization
Management
Computer Science
Software Engineering
Engineering Management
IT Architecture
Systems Design
Conflict Resolution
Problem Solving
Project Management

Job Details

About the Role

The Fulfillment Matching and Indexing team is a foundational component of the Fulfillment platform, critical for efficiently and reliably connecting supply (earners, drivers, shoppers) with demand (jobs, orders, routes). This team is responsible for developing and maintaining the core services and capabilities that enable real-time matching, search, and ranking. Our work directly impacts key business outcomes such as dispatch efficiency and cost per trip. We operate within a complex, high-volume, and low-latency distributed system with numerous cross-functional dependencies, requiring a strong focus on reliability and scalability.

\\-\\-\\-\\- What the Candidate Will Do ----

Strategic Leadership and Team Development: Lead and mentor a team of software engineers specializing in Matching and Indexing. Cultivate a culture of technical excellence, accountability, and continuous learning, while actively managing career growth, performance, and skill development for team members. Ensure the team maintains a high bar for engineering quality and reliability.

Vision and Technical Roadmap: Define and execute the technical strategy and roadmap, ensuring close alignment with the broader Fulfillment platform vision and Uber company-wide objectives. Drive significant initiatives to scale offers for earning opportunities, develop a rules framework to maintain compliance, and lead the evolution of the underlying Indexing infrastructure.

Architecture and Design Excellence: Oversee the design and architecture of highly scalable, reliable, and extensible matching and indexing systems. This includes developing robust data models, defining clear APIs, and building core capabilities for tasks like concurrent matching and job assignment optimizations. Ensure that designs maintain a high bar for quality, prevent the accumulation of technical debt, and promote extensible solutions. Projects will involve developing data models for new earning opportunities.

Execution and Delivery Management: Own the end-to-end execution of critical projects in Matching and Indexing (e.g., cost accounting, benchmarking, simulation frameworks). Implement and refine processes for planning, prioritization, and tracking to ensure timely and high-quality delivery, effectively managing competing priorities and inbound requests.

Cross-Functional Collaboration and Influence: Proactively partner with Product, Data Science, and other Engineering teams (e.g., Matching, Rider, Fares) to gather requirements, manage dependencies, and drive consensus on shared initiatives. Represent the team in critical technical discussions and provide strategic input and guidance across the organization.

Operational Health and Efficiency: Ensure the reliability, performance, and cost-efficiency of Matching and Indexing services. Drive initiatives for simulation, change validation, and cost optimization, ensuring the platform can scale effectively to meet projected growth. Oversee the efficient handling of customer inbounds and maintenance tasks for the Indexing platform.

\\-\\-\\-\\- Basic Qualifications ----

Bachelor's degree in Computer Science, Engineering, or a related technical field.

10+ years of experience in software engineering.

5+ years of experience in an engineering management role, leading and growing high-performing technical teams.

Proven experience designing, building, and operating large-scale distributed systems. Team is deeply technical and requires solid understanding of technical architecture, system design, and problem-solving acumen to solve technical challenges for Uber.

Experience with various project management and prioritization frameworks (e.g., OKRs, stack ranking) and the ability to implement them effectively.

\\-\\-\\-\\- Preferred Qualifications ----

Master's degree or Ph.D. in a related technical field.

Experience with indexing and serving systems.

Experience in developing and leveraging simulation and experimentation platforms to validate new features, optimize performance, and understand business impact.

Experience with real-time, high-throughput data processing and low-latency services, managing systems that impact core company operations.

Strong understanding of data modeling, API design, and microservices architecture in a complex, interconnected environment.

Ability to balance strategic thinking with hands-on technical execution and problem-solving, especially when dealing with ambiguous or ill-defined problems.

Exceptional communication, negotiation, and influencing skills, with a strong track record of successful cross-functional collaboration and executive stakeholder management.

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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
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.

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.