About the Role
Uber invests a substantial annual marketing budget to attract and engage customers-including Riders, Drivers, Couriers, and Eaters-across a variety of channels, from traditional TV and print ads to digital mobile and web advertising.
The AdTech team is responsible for building the technological foundation to scale this advertising effort. We leverage data science, including models and LLMs, to achieve intelligent optimization and automation throughout the entire process. Our work spans the advertising loop, from initial budgeting and spend allocation to the granular optimization of which content is shown to whom and when. By maximizing the efficiency of a multi-billion-dollar advertising budget, the AdTech team is a critical enabler of Uber's growth, sharply focused on maximizing user acquisition and retention through effective marketing.
The Measurement and Optimization team within AdTech is seeking talented individuals to drive automated, intelligent decision-making for Uber's marketing investment. This is a high-impact role where you will define and execute the technical roadmap to measure, test, automate, and optimize Uber's significant marketing and brand spend. This work is crucial, as it directly drives substantial cost savings and contributes to Uber's growth across users, trips, and gross bookings. Join us if you are interested in building Uber's next-generation Marketing platform
Basic Qualifications
Experience: At least 3 years of software engineering experience
Education: Bachelor's degree in Computer Science, Physics, Mathematics, or a related technical field, or equivalent practical experience.
Coding: Proven knowledge of Python, Spark, Java 8+ or Golang is a must-have with at least 2 years of recent experience in either.
Data Processing and Analysis: Experience in Batch/Stream data processing and Big Data technology and analysis.
Preferred Qualifications
Architecture: Knowledge of data structures and an eye for architecture. You can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level.
Strong coding/debugging abilities: You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Python, Golang, and Java.
Big data: Experience with Distributed systems such as Hadoop, Hive, Spark, Kafka, Vertica is preferred.
Data pipeline: All our systems are data-driven and data drives the majority of the decisions made, Strong understanding in SQL, Database. Experience in building a data pipeline is nice to have. Love getting your hands dirty with the data implementing custom ETLs to shape it into information.
Fast learner: We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment.
A team player: You believe that you can achieve more on a team -- that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.
Design and business acumen: You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.
What You'll Do
Design and Deliver: Design, build, and deliver end-to-end marketing features that track, measure, report, execute and test and on Billions of ad spend and achieve efficient return on investment.
Develop Services and products: Design, develop, and operate highly scalable and reliable services and backend systems to handle channel-specific complexities.
AI Infrastructure Modernization: Modernize our tech stack to build a relevant @contextual layer for AI-driven systems. Bridge the gap between petabyte-scale data and LLMs by developing low-latency retrieval systems and knowledge architectures that power highly accurate and @context-aware AI features.
Data Engineering: Consume petabyte-scale impression and click-level data. Leverage experience with large-scale data and Big Data technologies to build scalable data pipelines that support various ad tech use cases.
Cross-Functional Collaboration: Work closely with Product Management, Data Science, and Marketing to experiment with new optimization strategies and build scalable production systems to operationalize successful approaches.
Platform Integration: Collaborate with other Uber engineering teams to leverage and influence the roadmap of internal platforms like Michelangelo (ML), Bullseye (Audience Builder), Morpheus (Experimentation), and Flow (Workflow Automation).
Keep the bar high on sustainable engineering by following best engineering practices, producing best in class of code, documentation, testing and monitoring.
What You'll Need
Basic Qualifications
Experience: At least 3 years of software engineering experience
Education: Bachelor's degree in Computer Science, Physics, Mathematics, or a related technical field, or equivalent practical experience.
Coding: Proven knowledge of Python, Spark, Java 8+ or Golang is a must-have with at least 2 years of recent experience in either.
Data Processing and Analysis: Experience in Batch/Stream data processing and Big Data technology and analysis.
Preferred Qualifications
Architecture skills: Knowledge of data structures and an eye for architecture. You can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level.
High coding standards (TDD, Clean Code)
Proven track record within a production environment
A phenomenal teammate approach: You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' feedback for continuous improvement.
Understanding business and design requirements, whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to detail leads to a delightful user experience.
Experience querying data using SQL
AdTech experience is a huge plus
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.
Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company's discretion.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
