Sr Staff Engineer

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:

1. Advancing AI-powered marketing innovation, including GenAI-driven tools to increase marketers' and ops' efficiency and productivity.
2. Applying reinforcement learning and optimization techniques to enhance creative effectiveness.
3. Generating insights and analysis to measure and improve marketing experience (XP) performance.
4. Building and scaling digital asset management systems to support marketing and brand operations.
5. 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:

1. 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.

1. GenAI 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.

1. Cross-Team Initiatives:

Identify and drive technical projects that span multiple teams, elevating the scope, impact, and collaboration across the BLR site.

1. Industry Awareness:

Stay ahead of emerging technology trends (especially in GenAI and growth infrastructure), and apply relevant innovations to the team's roadmap.

1. 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 ----

1. 12+ years of software engineering experience with deep hands-on experience in system architecture and scalable distributed systems.
2. Proven experience in driving large-scale platform designs and cross-functional technical strategies.
3. Strong background in backend development, APIs, and platform engineering.
4. Passion for GenAI technologies with a strong interest in leading and inspiring teams to innovate at the frontier of AI-powered marketing.
5. Practical experience applying GenAI or ML/AI in production (e.g., integrating LLMs, building AI applications, etc.).
6. Excellent technical communication and mentorship skills; ability to influence across multiple teams and stakeholders.
7. Bachelor's or Master's degree in Computer Science, Engineering, or related field.

---- Preferred Qualifications ----

1. Hands-on experience with GenAI technologies such as LLM-based content generation, semantic search, vector stores, or RAG-based systems.
2. Exposure to experimentation platforms and reinforcement learning techniques.
3. 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-147061

Employment Type: FULL_TIME

Posted: 2025-08-22T00:31:55