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Uber
Sr Staff Engineer
1 week ago• Bangalore, India
Viewed on February 1, 2026
Apply on company site
About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
- Size: 10000+ employees
- Industry: Technology
View Company Profile:
About the Role:
The Growth/CRM Engineering Team under Uber's Growth & Marketing Platform is responsible for building Uber's end-to-end marketing technology and growth infrastructure. This includes powerful platforms for marketing automation, segmentation, personalization, experimentation, content creation, digital assets management, and GenAI-powered marketing.
The Bangalore (BLR) site plays a critical role in this mission, with multiple engineering teams focused on the following charters:
- Advancing AI-powered marketing innovation, including GenAI-driven tools to increase marketers' and ops' efficiency and productivity.
- Applying reinforcement learning and optimization techniques to enhance creative effectiveness.
- Generating insights and analysis to measure and improve marketing experience (XP) performance.
- Building and scaling digital asset management systems to support marketing and brand operations.
- Developing a growth ecosystem platform to enable seamless integration across Uber-wide systems and tools.
We are looking for a highly experienced Senior Staff Engineer to take on a site-wide architect role for our BLR Growth/CRM Eng teams. This is a strategic individual contributor role requiring strong technical leadership, cross-domain thinking, and a vision for scalable, intelligent systems.
You will partner closely with engineering and product leaders to steer the architectural direction, mentor engineers, identify and drive cross-team initiatives, and keep Uber's marketing and growth stacks at the forefront of innovation, particularly in the realm of GenAI.
---- What the Candidate Will Do ----
Key Responsibilities:
Architectural Leadership & Technical Stewardship:
- Own and define the long-term architectural vision and technical strategy for the BLR Growth/CRM teams, ensuring scalability, maintainability, and innovation.
Gen
AI Vision & Implementation:
-
Lead the technical direction of GenAI-powered marketing solutions. Bring a pragmatic approach to AI system design, implementation, and deployment in production environments.
-
Cross-Team Initiatives:
-
Identify and drive technical projects that span multiple teams, elevating the scope, impact, and collaboration across the BLR site.
-
Industry Awareness:
-
Stay ahead of emerging technology trends (especially in GenAI and growth infrastructure), and apply relevant innovations to the team's roadmap.
-
Site Enrichment:
Propose and lead initiatives that expand the scope and influence of the BLR engineering site within Uber's global Growth & Marketing Platform org.
---- Basic Qualifications ----
- 12+ years of software engineering experience with deep hands-on experience in system architecture and scalable distributed systems.
- Proven experience in driving large-scale platform designs and cross-functional technical strategies.
- Strong background in backend development, APIs, and platform engineering.
- Passion for GenAI technologies with a strong interest in leading and inspiring teams to innovate at the frontier of AI-powered marketing.
- Practical experience applying GenAI or ML/AI in production (e.g., integrating LLMs, building AI applications, etc.).
- Excellent technical communication and mentorship skills; ability to influence across multiple teams and stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
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- By signing up, you agree to our ---- Preferred Qualifications ----
- Hands-on experience with GenAI technologies such as LLM-based content generation, semantic search, vector stores, or RAG-based systems.
- Exposure to experimentation platforms and reinforcement learning techniques.
- Experience working in a globally distributed team with a strong site-leadership presence.
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 fuelds progress. What moves us, moves the world - let's move it 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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
Client-provided location(s): Bangalore, India Job ID: Uber-147061Employment Type: FULL_TIMEPosted: 2026-01-20T00:30:34Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Apply on company site
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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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