Senior Product Manager - AI Governance

<div class="content-intro"><p>At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture.</p> <p>Here you can read some of our customer stories: <a class="owrQq" href="https://appfire.com/resources/resource-library/customer-stories" target="_blank">https://appfire.com/resources/resource-library/customer-stories</a></p></div><p><strong>About the role</strong></p> <p>AI agents are showing up inside enterprise Jira environments faster than most platform admins can track. Teams can't always see what an agent is touching, can't carry its setup through a deployment the way they can other configurations, and can't easily answer questions about what an agent is doing or costing. We're building the product that gives enterprise platform teams one place to discover, govern, audit, and understand the cost of every AI agent running in their environment.</p> <p>You'll own this end to end: strengthening the platform capabilities that make this trustworthy at enterprise scale, extending our governance model to treat AI agents as configuration in their own right, and building the policy layer that decides what any agent is allowed to do before it acts.</p> <p><strong>What you’ll own</strong></p> <p><strong>Platform foundation.</strong> Strengthen core capabilities our enterprise customers depend on: reliable movement of configuration across environments, programmatic access for teams running CI/CD-style operations, and better visibility into unwanted configuration change over time.</p> <p><strong>Agent governance.</strong> Extend our governance model to treat AI agents as configuration that deserves the same rigor as workflows or permissions: capturing agent setup as part of a deployment, comparing and rolling back agent changes independently of everything else, and closing the gap where agent configuration gets left behind during a promotion.</p> <p><strong>A control plane for AI activity.</strong> Build the visibility and control layer enterprises are missing today: discovery of what agents are running and where, a searchable inventory, a policy engine that enforces rules like approval requirements before an agent acts, an audit trail down to the individual action, and cost and usage attribution by agent, owner, or project.</p> <p><strong>The policy engine.</strong> This becomes the enforcement layer other Appfire products r