Post-Purchase Automation & Operations Manager

Google

New York (NY)

On-site

USD 114,000 - 163,000

Full time

36 hours ago
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Job summary

Google is seeking a Product Support Manager to own post-purchase customer journeys across Google Store and Health and Home. You will lead AI self-service transformation, automated refunds, and risk workflows, partnering with Product, Engineering, and Operations to reduce customer effort.

You will drive data-driven improvements, manage escalation paths, and ensure readiness across devices and services while shaping policies to minimize leakage and improve metrics.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in a project management or a customer-facing role.
  • Experience in e-commerce, hardware post-purchase processes, refunds, returns, and device protection.

Responsibilities

  • Manage post-purchase support across Google Store journeys, including order management, refunds, returns, replacements, and device protection.
  • Drive automation and workflows with engineering and operations to reduce customer effort, Repeat Contact Rate, and resolution time.
  • Analyze customer insights and metrics to identify product, policy, or tooling gaps and advocate upstream fixes.
  • Lead cross-functional escalation pathways, bug SLAs, and operational playbooks to resolve high-impact issues rapidly.
  • Ensure launch and ecosystem readiness across hardware portfolios, subscriptions, agent enablement, and fraud controls.

Skills

Project management
Customer-facing
Analytical skills
Dashboards
Cross-functional collaboration

Education

Bachelor's degree

Job description

Google is seeking a Product Support Manager to own post-purchase customer journeys across Google Store and Health and Home. You will lead AI self-service transformation, automated refunds, and risk workflows, partnering with Product, Engineering, and Operations to reduce customer effort.

You will drive data-driven improvements, manage escalation paths, and ensure readiness across devices and services while shaping policies to minimize leakage and improve metrics.

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