Engineering Manager, Consumer Growth

2 semanas atrás

Osasco, Brasil Uber Tempo inteiro
**About the Role**:
As an Engineering Manager at Uber, you will be leading a group of engineers working with product managers, data scientists and other engineering teams to build identity platform solutions globally which are used by all Uber users. We are Uber’s first Tech Center in LATAM and part of the global Engineering team
Uber Eats is the fastest growing food delivery platform in the world, we are bringing convenience and happiness to people one meal at a time.
Consumer Growth works on varied and interesting challenges that cut across the user experience. Embrace freedom and autonomy to find opportunities to improve our products. Focus on improving and developing our products for a global audience. Learn from and collaborate with people and teams across many systems and areas. Help define a vision and lead a motivated group of caring, fast moving people. Deliver excellent experiences to users at high scale.
**What You’ll Do**:
- Directly own an engineering team passionate about learning and iterating with velocity.
- Challenge engineers to design innovative, highly-scalable, and robust systems.
- Build trust and foster a collaborative team culture.
- Build a strong brand and be able to attract and retain talent.
- Strategize and influence the product vision and roadmap in collaboration with the product and business team.
- Mentor other engineers and build a strong culture of quality, handle conflicts well and help build consensus.
**What You’ll Need**:
- Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, Information Technology etc.).
- A strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions.
- Experience working with multi-functional, globally distributed teams to coordinate work and deliver solutions that span multiple teams.
- Collaboration with PMs, designers, data scientists and infrastructure teams to identify, prioritize and solve problems.
- Working actively on career mentor & development, handle performance & conflicts, influence cross-functional teams.
- Track record of managing, recruiting, and retaining strong engineering talent and growing effective teams.
- Desire knowledge about large-scale, distributed systems, including SQL/NoSQL storage, transactional updates, asynchronous processing with message queues like Kafka, logging, system monitoring, and performance tuning.

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