Software Development Manager, Genai Evaluation Media (gem)

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Manager for GenAI Evaluation Media (GEM) team at Amazon, focusing on visual shopping experiences. The role involves leading a team to drive technical vision and execution of AI capabilities for generating and governing billions of visual assets at scale, ensuring quality and trustworthiness for customer purchase decisions. Requires strong technical expertise, business acumen, and leadership skills to partner with stakeholders, drive innovation, and maintain operational excellence.

What you'd actually do

  1. Partner with Product Management, Applied and Data Science, User Experience, Software Development, and cross organizational teams to build, integrate and ship solutions at scale
  2. Establish structures that enable your team to solve complex problems and build innovative solutions
  3. Provide hands-on tech leadership to team
  4. Instill best practices for software development and documentation, assure designs meet requirements and deliver high-quality work on tight schedules
  5. Manage team priorities, hiring, mentoring and continuous performance evaluation

Skills

Required

  • 3+ years of engineering team management experience
  • 7+ years of engineering experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming 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
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

What the JD emphasized

  • experienced Software Development Manager
  • lead a team of Software Engineers
  • drive the technical vision and execution of AI capabilities
  • build and lead a team of engineers
  • solve complex technical problems
  • launch high quality and trustworthy visual assets at scale
  • establishing robust mechanisms, metrics
  • working with multiple partners in cross-team collaboration
  • navigating rapid advances in AI technology
  • maintain competitive advantage
  • deep technical expertise
  • strong business acumen
  • strategic leadership skills
  • align priorities
  • drive innovation
  • build a culture of technical excellence and customer obsession
  • strategic thinking
  • technical depth
  • delivering practical solutions that scale
  • shape the future of visual commerce
  • leading a team
  • define how hundreds of millions of customers discover and evaluate products and styles through visual experiences
  • highlight our strategic initiatives
  • make them feel compelled to use our solutions in their products
  • influence the roadmap and technology decisions
  • drive the adoption of our solutions
  • strong focus on keeping the operational excellence bar high
  • defining key business metrics
  • auditing them regularly
  • strong technical ability
  • excellent project management skills
  • great communication skills
  • motivation to achieve results in a fast paced environment
  • motivator
  • experienced leader
  • hire high-caliber engineers
  • collaborate across organizations
  • ability to influence senior leadership
  • build, integrate and ship solutions at scale
  • solve complex problems
  • build innovative solutions
  • Provide hands-on tech leadership
  • Instill best practices for software development and documentation
  • assure designs meet requirements
  • deliver high-quality work on tight schedules
  • Manage team priorities
  • hiring
  • mentoring
  • continuous performance evaluation
  • 3+ years of engineering team management experience
  • 7+ years of engineering experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
  • 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming 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
  • 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
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Other signals

  • leading a team of engineers to solve complex technical problems
  • launch high quality and trustworthy visual assets at scale
  • establishing robust mechanisms, metrics
  • working with multiple partners in cross-team collaboration
  • navigating rapid advances in AI technology