Principal Tech Program Manager, Personalization

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

The role is for a Principal Technical Program Manager on Amazon's Personalization team, which uses machine learning to tailor customer experiences on Amazon's prominent pages. The TPM will work with engineers on page optimization systems, manage innovation, anticipate bottlenecks, and balance business needs with technical constraints. The role involves significant scope and responsibility, impacting billions of dollars in revenue, and requires collaboration across company-wide strategic programs. The team leverages ML, big data, and distributed systems to deliver personalized shopping experiences.

What you'd actually do

  1. designing and implementing advance page optimization systems
  2. inventing ways to multiply the rate of innovation across the company on behalf of our customers
  3. anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints
  4. assimilate a large number of inputs from stakeholders, develop cohesive designs and functional specs, prioritize and deliver them in a successful and timely manner
  5. clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional and remote project teams

Skills

Required

  • 10+ years of engineering experience
  • 7+ years of technical product or program management experience
  • 5+ years of software development experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Experience in hands-on work managing complex technology projects
  • Maturity, sound business and technical judgement, negotiation skills, ability to influence, and leadership

Nice to have

  • 8+ years of hands-on work managing complex technology projects experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
  • 3+ years of full product life cycle experience

What the JD emphasized

  • billions of dollars of revenue per year
  • state of the art machine learning techniques