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AI Summary

You will own the product backlog, prioritizing tasks based on severity and revenue while ensuring clear standards for developer intake. Additionally, you will manage triage, release planning, and weekly reporting to ensure predictable delivery for clients.

About the role

Campus Connect Group operates a portfolio of software businesses serving the private post-secondary education sector. One of our operating companies runs a mature platform used daily by career colleges and training institutes across North America.

We are looking for a Technical Product Manager to own what gets built, in what order, and to what standard. This is a delivery and prioritization role, not a market research or roadmap visioning role.

You will inherit a backlog of several hundred open items, some of them years old, on a mature ASP.NET and Visual Basic codebase. Your job is to bring order to it: decide what matters, make sure developers receive clear and complete work, and give clients delivery they can predict. If you enjoy turnarounds, this is a good fit.


What you will own

  • The ranked backlog. You decide sequencing based on severity, client revenue, and effort, and you can explain that order to an executive team or to a client.
  • Triage. Every incoming request classified within one business day: account management work, developer work, needs more information, or declined.
  • Work intake standards. No item reaches a developer without a concrete example, expected versus actual behavior, steps to reproduce, and acceptance criteria.
  • Release planning with the development lead, including deployment cadence.
  • Clear decisions on what we will not do. Declining a request with a stated reason is better for the client than an open item that never moves.
  • Weekly reporting on items created versus closed, aging, cycle time, and SLA breaches, and acting on what it shows.


Technical skills

  • This role works closely with developers on a legacy codebase, so we are looking for genuine technical comfort:
  • You can read a stack trace and form a view on what is happening.
  • You can write SQL well enough to query a database and check something yourself.
  • You can distinguish a display issue from a data issue from a permissions issue.
  • You can discuss a developer's estimate on its merits.
  • You are comfortable with legacy technology: classic ASP.NET WebForms, Visual Basic, on-premise deployment, and a codebase with years of accumulated decisions.


Experience required

  • Five or more years owning a product backlog in B2B SaaS or enterprise software.
  • Experience clearing a neglected or distressed backlog, and the ability to describe how you did it and what tradeoffs you made.
  • Hands-on configuration of a ticketing system, not just use of one: workflow states, SLAs, automation, and reporting. Zoho experience is helpful. Jira, Zendesk, ServiceNow, or Azure DevOps all transfer well.
  • Direct experience working with client-facing teams and with clients, including conversations about scope and timing.


Nice to have

  • Education technology, student information systems, or another sector selling to institutions with procurement cycles and compliance requirements.
  • Experience through a version control or CI/CD modernization. We are migrating to GitHub and adopting AI-assisted development tooling.
  • Enough comfort with data to build your own reports.


What success looks like

  • At 3 months: you own triage, every open item has a severity, an owner, and a clear rank, and weekly metrics are published.
  • At 6 months: requests for clarification are down significantly and delivery is predictable enough that clients stop chasing.
  • At 12 months: we close more than we open on a sustained basis, and aged items are a fraction of what you inherited.


Interview process

Mostly practical and mostly live. Expect a timed triage exercise using real anonymized items, a technical conversation with a developer present, and a discussion of a backlog you have turned around. You are welcome to use AI tools on any written stage; we will discuss the substance in conversation. About two and a half hours across two sessions.

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