Director of Product Operations

Metropolis Metropolis · Vertical AI · New York, NY +1 · Product

Director of Product Operations responsible for product rollouts, adoption, and measurement. This role involves leading cross-functional releases, quantifying value creation, and using customer insights for product improvement. They will partner with analytics and data engineering to define KPIs and build post-release impact review frameworks. Experience leveraging AI tools is mentioned as a plus.

What you'd actually do

  1. Act as the centralized owner of product releases, fostering strong relationships with product management, engineering, tech ops, design, marketing, operations, analytics, finance, and other relevant teams to ensure effective coordination and alignment both pre and post product feature deployment
  2. Lead the Product Operations team (currently four, with potential to scale), including two embedded Product Operations Managers executing product releases & analysis, and a product support team of two resolving internal Product Support inbound and generating insights from Operations and other key stakeholders
  3. Develop and execute project plans, timelines, and milestones to ensure successful and timely product releases, while proactively identifying and mitigating risks that may impact product development or delivery
  4. Document and maintain all training, policies, and procedures related to the operation of a new/improved product or feature
  5. Partner with Analytics and Data Engineering to define core product KPIs, instrument metrics, and publish dashboards for ongoing health and feature adoption

Skills

Required

  • product management
  • product operations
  • B2B and B2C technology landscape
  • product development process
  • leadership and management skills
  • analytical and problem-solving abilities
  • data-driven approach
  • communication and presentation skills

Nice to have

  • MBA
  • operationally-intensive environment
  • transportation, parking, or related field

What the JD emphasized

  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes