Software Development Manager, Prime Video Sports

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

We are looking for an exceptional Software Development Manager to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers' experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities

• Build your team from ground up.
• Hire and mentor highly talented engineers.
• Drive charter and roadmaps with your team, management, and principal stakeholders.
• Utilize data science and ML to develop products that deliver great experiences for customers.
• Work with peer Managers and Sr. Managers to get alignment on charter and cross team projects.
• Argue for the right outcomes with data, conviction, and diplomacy
  
  

About The Team

In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis major like Roland-Garros and English Premium League to list few and are broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content that it offers, but the depth of the experience. This is a transformative opportunity, the chance to be at the vanguard of a program that will revolutionize Prime Video, and the live streaming experience of customers everywhere.

Basic Qualifications

• Experience in engineering team management
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Experience in engineering
• Strong bias for action; ability to juggle multiple priorities and create a sense of urgency in a fast-paced, dynamic environment.
• Ability to convey rigorous science concepts and considerations to non-experts
  
  

Preferred Qualifications

• Degree in Computer Science, Machine Learning, Operational Research, Statistics or related experience.
• Professional experience in solving complex business problems with machine learning and machine learning engineering
• Demonstrated ability to translate strategic initiatives into detailed operating plans
• Experience or interest in the field of Computer Vision and/or recommendation systems.