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Compensation
$153,000 - $153,000
Benefits & Perks
•Stock options
•Health benefits
•Generous PTO
•Base salary plus commission
•President's Club
•Equity
•Healthcare
•Unlimited Pto
Required Skills
Zoom
Gong
LinkedIn Sales Navigator
About the Role
The Sales Automation Engineering team is dedicated to empowering Uber Eats sellers by building tools and automation that make it easier to sell Uber Eats services to merchants. As a Senior Application Engineer, you will be a technical leader within the CRM and Revenue tech stack, driving the architectural vision for our Salesforce and CPQ ecosystem. You will lead complex integrations across Uber's internal billing infrastructure and external platforms, ensuring our pricing and quoting systems are built for massive scale. Your work will directly influence Uber's global revenue trajectory and the long-term efficiency of our global B2B sales force.
What the Candidate Will Do
- Technical Leadership: Lead the design and end-to-end implementation of large-scale Salesforce and CPQ features, ensuring Quote-to-Cash processes are seamless and scalable.
- Architecture & Strategy: Define the long-term technical roadmap for CPQ automation, including Product Catalog design, Price Rules, and complex Quote Template logic.
- Complex Integrations: Architect and build sophisticated middleware and API integrations between Salesforce CPQ and Uber's core microservices (built in Go/Java) and downstream billing/ERP systems.
- Mentorship: Act as a technical mentor for Junior team members, conducting deep code reviews and fostering a culture of engineering excellence in Apex
- Stakeholder Management: Partner closely with Sales Ops, Finance, and Product Managers to translate complex pricing strategies and legal requirements into technical specifications.
- Operational Excellence: Drive improvements in CPQ deployment strategies (e.g., handling data-heavy migrations) and automated testing to minimize revenue-impacting errors.
- Problem Solving: Tackle complex architectural bottlenecks in CPQ, such as optimizing calculation engine performance for large quotes.
Basic Qualifications
- Education: A Bachelor's Degree in Computer Science, Engineering, or a related field.
- Experience: At least 7+ years of professional software development experience.
- Salesforce Specialization: Minimum of 5+ years of hands-on Salesforce application development.
- CPQ Expertise: At least 2+ years of experience specifically designing and implementing Salesforce CPQ. Deep understanding of the CPQ object model, Quote Line Editor (QLE) customization, and Product/Price Rules.
- Core Engineering: Expert-level proficiency in Object-Oriented Programming (Java, Go, or Python) and a deep understanding of distributed systems.
- Technical Depth: Expert knowledge of Apex (Async, Triggers, Patterns), CPQ Quote Calculator Plugins (QCP), Lightning Web Components (LWC), and advanced SOQL/SOSL.
- API Design: Proven track record of designing high-concurrency REST/SOAP/Bulk APIs and event-driven architectures (e.g., Kafka, Pub/Sub).
- Communication: Demonstrated ability to influence technical and non-technical stakeholders and lead cross-functional technical discussions.
Preferred Qualifications
- Advanced CPQ: Experience with CPQ API for "headless" quoting or external configurators.
- Cloud Infrastructure: Hands-on experience with AWS/GCP services (Lambda, S3, SQS) and integrating them with SaaS platforms.
- DevOps Culture: Deep experience with advanced CI/CD tooling (GitHub Actions, Jenkins, Copado) and managing complex CPQ data deployments.
- For San Francisco, CA-based roles: The base salary range for this role is USD**$153,000 per year**
- USD**$170,000 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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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About Uber
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
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