Tempo Automation

Tempo Automation

Product Delivery Manager

Main Office - Toronto · Senior

Sponsorship not specifiedDetected 120 days ago
ReactReact NativeFull-Stack DevelopmentAgentic AIProject ManagementCadenceLeadershipCommunicationOrganizational Skills

About the role

  • As we scale rapidly and onboard new clients, we're seeking a Product Delivery Manager who can operate at the intersection of people, process, and AI to keep delivery tight across a high-volume book of business.
  • You are the bridge between clients and our team, responsible for shipping work on time, on spec, and at a quality level that keeps clients retained.

Responsibilities

  • Manage delivery across approximately 20 concurrent accounts, maintaining a 5 to 10 feature per week cadence per client
  • Own capacity planning and resource allocation across a shared team of designers and developers. Real resource math, not just task lists
  • Build trust through specific, proactive client communication that demonstrates command of their product and priorities
  • Use AI tools (Claude, Fireflies, internal Tempo tooling) as core parts of your workflow to manage context, draft documentation, synthesize meetings, and flag risks at scale
  • Coordinate cross-functional teams, manage handoffs, and keep stakeholders aligned at every stage
  • Ability to manage multiple workstreams and clients simultaneously

Requirements

  • New grad or up to 2 years of experience in product delivery, project management, or client-facing product roles
  • Experience with AI agent development or AI-powered products
  • If you think in systems and believe AI should be embedded in how you work, we want to hear from you.

Nice to have

  • Degree in business or related field.
  • Minor or dual degree in engineering/computer science or related field preferred

Skills

  • Oversee QA and feedback loops to ensure quality standards before release
  • Identify where AI can replace manual process and propose those improvements

This listing is sourced directly from Tempo Automation's careers page and normalized into a canonical job model.