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Uber

Sr Staff Engineer - Engineer

Posted 7 Hours Ago
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In-Office
San Francisco, CA, USA
267K-297K Annually
Senior level
In-Office
San Francisco, CA, USA
267K-297K Annually
Senior level
Leads technical direction and architecture for Uber One membership engineering across growth, retention, benefits, experimentation, and infrastructure. Designs highly scalable distributed systems, coordinates complex multi-team initiatives, drives experimentation and data-informed product development, mentors senior engineers, and partners with Product, Data Science, Marketing, and business leaders to deliver reliable membership experiences across Rides, Delivery, and Grocery.
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About the role and team 

Uber One serves as Uber's flagship membership program and stands as one of the company's core strategic growth engines. Boasting over 50 million members—a 55% surge year-over-year—the program drives 50% of Uber's total gross bookings. It plays a pivotal role in accelerating platform engagement, multi-product adoption, and sustained customer retention across Rides, Delivery, and Grocery.

 Operating as a robust growth flywheel, Uber One members spend 3x more than non-members and show a 35% higher retention rate across platforms. Furthermore, cross-platform users utilizing both Mobility and Delivery generate upwards of 3x the gross bookings compared to single-product users, with Uber One acting as the primary catalyst for this cross-platform engagement. Members enjoy substantial savings through ride discounts, waived delivery fees, surge protection, cashback, priority service, and exclusive perks with key partners, establishing a compelling value proposition that strengthens long-term customer loyalty.

The Uber One Membership Product Engineering team consists of 70+ engineers distributed across 7 pillars, dedicated to expanding membership coverage, deepening user interaction, and maximizing savings to boost lifetime value and retention. The team's initiatives directly influence Uber's top-line revenue, user retention trajectory, and global unit economics.

In this role as Tech Lead and Senior Staff Software Engineer, you will define the technical roadmap and architecture powering key growth initiatives across the organization. Operating at the nexus of platform design, product engineering, and cross-functional strategy, you will partner with Product, Data Science, Marketing, and business leaders to engineer high-scale systems driving acquisition, engagement, benefits delivery, and retention for millions of global members.

What you’ll do 

  • Set technical direction across various engineering pillars encompassing membership growth, retention, benefits, membership experimentation, and platform infrastructure — ensuring architectural coherence and high engineering standards across a 70+ engineer organization.
  • Design and evolve large-scale distributed systems that power membership lifecycle management, benefits eligibility and fulfillment, savings computation, and real-time personalization across Uber's Rides, Delivery, and Grocery surfaces.
  • Lead complex, multi-team technical initiatives with significant cross-organizational dependencies — coordinating with Eats, Rides, Grocery, Payments, Pricing, Fares, Fulfillment Engineering teams to deliver integrated membership experiences.
  • Drive data-informed product engineering by building instrumentation, establishing OKRs, and leveraging experimentation (A/B testing, holdout analysis) to optimize membership coverage, conversion, engagement, and savings delivery.
  • Architect for scale and reliability — designing systems that handle millions of real-time membership eligibility checks, benefits applications, and personalized offer computations with low latency and high availability.
  • Mentor and elevate engineers across the organization, including Senior and Staff-level ICs, raising the technical bar and fostering a culture of engineering excellence, code quality, and operational rigor.
  • Shape technical strategy in partnership with Product Management, Data Science, and business leadership — translating membership growth and engagement objectives into engineering roadmaps and architectural decisions.
  • Deliver and review technical designs, code, and documentation to a high standard, championing best practices in service architecture, data management, and deployment.


Basic Qualifications 

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • 10+ years of professional software development experience, building and operating systems in production environments.
  • Strong expertise in backend development, distributed systems, and system design for large-scale, low-latency applications.
  • Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-organizational dependencies and design complexity.
  • Strong cross-functional collaboration skills with Product, Data Science, Marketing, and business stakeholders.
  • Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs.

    Preferred Qualifications 

  • Experience building and scaling membership, subscription, or loyalty platform systems.
  • Proven track record of setting technical direction for a large engineering organization (50+ engineers across multiple teams).
  • Experience with full-stack product engineering — building consumer-facing features that span backend services, APIs, and client integration points.
  • Deep experience with experimentation frameworks, A/B testing at scale, and data-driven product development.
  • Background in pricing, personalization, or recommendation systems.
  • Experience with multi-sided marketplace dynamics and understanding of how membership programs drive platform network effects.
  • Proficiency in languages such as Go, Java, or Python, with strong foundations in performance optimization and debugging across complex stacks.
  • Experience designing systems that span multiple business verticals (e.g., Rides, Delivery, Grocery) with shared platform layers.
  • Track record of driving both technical innovation and raising organizational engineering standards across a large, distributed team.
  • Strong analytical and problem-solving skills with comfort navigating ambiguous, high-impact problem spaces.
  • Familiarity with agentic AI patterns and LLM-powered systems, with a track record of driving AI adoption across engineering teams to accelerate development velocity and product innovation
Responsibilities

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

About Us

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

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.

HQ

Uber San Francisco, California, USA Office

Uber's a hybrid work environment and employees target spending 50% of their time in the office.

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