Engineering Manager II - Grocery

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Empresa

Joveo

Descripción de la Empresa

As the global leader in programmatic job advertising, we are transforming talent sourcing and recruitment media buying for the world’s largest and smartest employers, staffing businesses, RPOs, and media agencies. The Joveo platform enables businesses to attract, source, engage, and hire the most relevant candidates on time, within their budget. Powering millions of jobs every day, our data-driven recruitment advertising platform uses advanced data science and machine learning to dynamically manage and optimize talent sourcing and applications across all online channels while providing real-time insights at every step of the job seeker journey, from click to hire.

Región

Los Ríos

Localidad

Santiago

Tipo de Contratación

Tiempo Completo

Descripción de la Plaza

What You’ll Do
You will manage a team of software engineers to deliver world-class safety solutions
Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
Recruit, encourage, and grow a top notch engineering team
Develop systems and software to bring world class safety to global Uber
What You’ll Need
Strong experience developing software as an engineer
Strong experience leading engineering teams
Significant experience building and operating critical high-scale systems
Phenomenal management and team development skills: ability to set roadmap and goals for a team and every one of its members, delegate intelligently, mentor engineers, deliver frequent and transparent feedback, help team members grow in their careers, and deliver results
Expertise and curiosity about growing teams: interviewing junior and senior engineers, collaborating with a recruiting team, efficiently onboarding new team members
Good software engineering methodology: meaningful and deeply-rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
Outstanding technical skills in backend or mobile engineering: Uber managers can lead from the front when the situation calls for it
Proficient in English
About the Team
Our team uses real-time telematics and motion sensing technologies along with multi-faceted machine learning algorithms and user-facing mobile products to reduce and prevent unsafe driving and behavior on the Uber platform. The team is building low-latency data streaming infrastructure that ingests terabytes of data daily before applying statistical modeling and signal processing algorithm, NLP auditing as well as facial biometrics recognition solutions. Our work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as Uber's entire ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures.

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