Software Development Manager, Prime Video Personalization and Discovery

Amazon Amazon · Big Tech · NY +1 · Software Development

Software Development Manager for Prime Video Personalization and Discovery team, responsible for leading engineers in designing, implementing, and delivering large technology initiatives for AI-first personalization models at scale. Focuses on product ownership, user experience, and technical strategy for recommendation systems.

What you'd actually do

  1. As a Software Development Manager, you will manage a group of talented SDEs and work with them on the design, implementation, and delivery of large technology initiatives for Prime Video Personalization on the PV Homepage.
  2. You will be responsible for leading initiatives, managing roadmaps, forward looking technical strategy, and designing/building innovative software solutions for our customers.
  3. You will need to be an excellent leader and bridge across various parts of Tech, Product, and business.
  4. Craft a goal update for a key goal that goes up to our VP
  5. Attend an engineering standup and help unblock a key milestone

Skills

Required

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product or program management teams

Nice to have

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

What the JD emphasized

  • AI-First personalization experience

Other signals

  • AI-First personalization experience
  • Personalization models
  • Machine Learning and experiments