Sr Manager, EngineeringManager, Engineering in San Francisco, California

• Full Time

About the Role

The Experimentation team provides cutting edge tooling and methodologies for all teams at Uber to make rapid decisions for their product iterations. Experimentation is an exciting domain that combines multiple disciplines of Software Engineering (Backend, Distributed Systems, Mobile, Web, Data Infra), Data Science, and Product Design.

Every major launch across any of Uber's Rides, Delivery, Earner, Freight, and Uber For Business (U4B) organizations leverages the Experimentation platform to determine how new features impact key business metrics. Virtually all Engineers, Scientists, and Product Managers at the company use our platform on a daily basis to launch, monitor, test, and make changes to Uber's ecosystem.

What We're Looking For

We are looking to hire an engineering lead for the Measurements & Optimizations org. This newly formed area will be responsible for automating the most common workflows used by 1000s of engineers, scientists, and PMs at Uber on a daily basis by leveraging AI to improve velocity of product innovations at Uber. The team will also be responsible for architecting and delivering new Optimizations focused products (e.g. Parameter Tuning, Multi-Arm Bandits, or equivalent) for both our AB and Marketplace Experimentation (MX) charters which will allow teams to optimize their product launches to maximize business impact. Lastly, we are exploring the development of new tooling to assist Ops & Finance teams to optimize their budget allocation spend to maximize long-term revenue (Gross Bookings) outcomes.

Impact

Resource Saving: Save ~30 Eng and Science yrs of wasted Eng and Science effort related to XPs annually.

Team Velocity: 3 weeks reduced time-to-production for XPs (average).

Optimizations Product: $50M/year through optimized product experiences; 2% increase in global trips.

What You'll Do

Grow, mentor, and develop teams of skilled software engineers and engineering managers within Measurement & Optimizations org

Recruit high quality engineering talent for the team as needed

Establish relationships and collaborate with key stakeholders across Uber to further the team goals

Own the definition, execution, and delivery of KPIs for your teams

Uphold a high bar for engineering excellence and platform reliability

Define the processes and systems within the team to positively shape engineering culture

Help define the roadmap and vision for Experimentation

Basic Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience in an engineering related bootcamp

5

years experience as an engineering manager

5

years of experience as a software engineer or equivalent

Experience going through the full software cycle of requirements, design, coding / testing, rollout / deployment, and best practices in delivering world-class software and services

Experience evolving and presenting a strong vision/roadmap for your team

Passion about your team's mission and the self-starting personality to make things happen

A track record of building teams with a culture of craftsmanship and engineering excellence

A track record of delivering results even when requirements are under-specified

Strong grasp of distributed-systems fundamentals: caching, sharding, consensus, fault tolerance, observability, and incident response

Excellent written and verbal communication skills, including the ability to document system architectures and algorithms

Preferred Qualifications

A candidate with some mix of the following qualifications is preferred. It's not expected that applicants have experience with every item.

If you meet many of these requirements please apply!

In general, we're looking for someone who is conversant in data science or statistics with a track record of building multi-disciplinary teams that ship at high scale.

BS/MS/PhD degree in Computer Science, a related field, or equivalent experience

Experience building or using A/B testing or feature flagging infrastructure

Experience building engineering or analytics tools or data products

A background in applied statistics with experience building systems at the boundary between data science and engineering

Experience shipping high scale systems

100,000

QPS

Experience managing teams with diverse technical backgrounds like front-end, backend, mobile, and data engineering

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. More details can be found at the following link https://jobs.uber.com/en/benefits.

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.

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.

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Uber is proud to be an equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other characteristic protected by law.

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