Technical Program Manager Iii, Fast (fashion Subsidiary Tech)

Amazon Amazon · Big Tech · NY +1 · Project/Program/Product Management--Technical

This role is for a Technical Program Manager III in Amazon's Fashion Subsidiary Tech (FaST) team, focusing on the customer front-end experience for Zappos.com. The TPM will drive solutions for ambiguous problems, create vision, and lead through influence, partnering with senior leadership and engineering teams. Responsibilities include building project plans, coordinating efforts, refining requirements, and acting as a catalyst for delivery. While the role mentions leveraging AI/ML tooling and understanding generative AI for workflow efficiency and product enhancement, the core function is program management for e-commerce customer experience, not direct AI/ML development or research.

What you'd actually do

  1. Build project plans that deliver on highly ambiguous goals.
  2. Build alignment with senior management and engineering through excellent document writing and meeting coordination.
  3. Create and implement mechanisms to coordinate complicated and impactful efforts.
  4. Dive deep with engineering teams and stakeholders to build and refine requirements.
  5. Act as a catalyst for delivery by helping unblock teams and build alignment.

Skills

Required

  • 5+ years of technical product or program management experience
  • 7+ years of working directly with engineering teams experience
  • 3+ years of software development experience
  • 5+ years of technical program management working directly with software engineering teams experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Bachelor's degree in engineering, computer science or equivalent

Nice to have

  • 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
  • Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
  • 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

  • ambiguous problems
  • technical expertise
  • AI/ML tooling
  • generative AI tools
  • effective prompting
  • evaluation practices
  • recognize opportunities where generative AI could enhance products