Program Manager, Customer Experience and Insights Team

Amazon Amazon · Big Tech · Hawthorne, CA · Project/Program/Product Management--Non-Tech

Program Manager for Amazon's Ring and Blink Customer Experience and Insights Team, focusing on AI-driven transformation. The role involves leveraging generative AI and machine learning to identify and resolve customer contact drivers, improve customer experience, and drive automation. Responsibilities include AI strategy, program management, stakeholder engagement, and mentoring junior team members on AI adoption.

What you'd actually do

  1. Leverage generative AI tools (Amazon Quick Suite, Bedrock, PartyRock) daily to identify root causes, surface insights, and accelerate decision-making.
  2. Develop AI-assisted workflows and intelligent automation that scale organization-wide as best practices.
  3. Apply machine learning to analyze customer contact data at scale, identifying defects and patterns impossible to detect manually.
  4. Manage small-to-medium programs and complex cross-team projects with limited oversight.
  5. Partner with cross-functional teams (Product, Engineering, Finance, Operations) to align priorities.

Skills

Required

  • 3+ years of program or project management experience
  • Experience working cross functionally with tech and non-tech teams
  • Experience using data and metrics to determine and drive improvements
  • Hands-on experience applying AI tools (e.g., generative AI, machine learning platforms, automation software) to operational workflows, reporting, or decision-making processes with measurable efficiency gains
  • Demonstrated ability to analyze operational and business performance data (e.g., KPIs, SLAs, cost metrics) to identify trends, surface root causes, and develop actionable recommendations
  • Proven experience designing, documenting, and implementing AI-enabled SOPs, intelligent intake workflows, and automated operational frameworks that improve efficiency and reduce friction
  • Track record of partnering with cross-functional teams (Finance, Product, Engineering, Operations) to align on priorities and drive program outcomes without direct authority
  • Experience leading teams and stakeholders through process transitions, including training development, documentation, and adoption tracking
  • Strong written and verbal communication skills with demonstrated ability to present program status, risks, and recommendations to senior leadership (3+ tiers above level)
  • Proficiency with AI-enhanced project management tools such as JIRA, Confluence, Asana, or equivalent platforms for tracking milestones, dependencies, and deliverables

Nice to have

  • Experience contributing to or piloting AI-assisted workflows, automation initiatives, or emerging technology adoption within an operations context
  • Background in business operations, customer support operations, or contact center environments with measurable impact on efficiency or cost reduction
  • Metrics & AI-Powered Experience defining and tracking operational KPIs using AI-generated dashboards, machine learning insights, and adjusting programs based on predictive analytics
  • Familiarity with consumer electronics, smart home technology, subscription services, or similar high-volume customer-facing businesses leveraging AI for customer experience improvement
  • Exposure to Lean, Six Sigma, or similar continuous improvement methodologies combined with A

What the JD emphasized

  • AI-driven customer experience transformation
  • AI-powered data intelligence
  • machine learning-assisted workflows
  • scalable automation frameworks
  • AI-forward practitioner
  • generative AI tools daily
  • AI-enabled cross-functional collaboration
  • AI Strategy & Innovation
  • AI-assisted workflows
  • intelligent automation
  • Apply machine learning
  • Pioneer new AI applications
  • Train cross-functional partners on AI adoption
  • champion AI-forward problem-solving
  • AI-enhanced project management tools

Other signals

  • AI-driven customer experience transformation
  • leverage artificial intelligence, machine learning, and automation
  • AI-powered insights
  • AI-forward practitioner
  • generative AI tools daily
  • machine learning-assisted workflows
  • scalable automation frameworks
  • AI-enabled cross-functional collaboration