Technical Product Manager, Applied Science – AI Products

We're looking for a Technical Product Manager to own how Caseware builds, evaluates, and raises the quality of AI across the platform. You are the product owner of our core AI surfaces: the agents and agent builder practitioners use to do real work, the eval builder and eval roadmap that let us measure quality, and the agentic memory that lets the platform improve as it is used. You decide what we build, in what order, and whether it clears the bar before it reaches someone's audit file. 

You are also the closest thing the product has to a practitioner in the room. Acting as an SME proxy, you carry the voice of the auditor into every decision: shadowing real workflows, validating outputs against what a qualified practitioner would actually sign off on, and turning "this doesn't feel right" into specific, actionable failure modes. You partner closely with applied scientists, engineering, domain experts, and external partner firms. You own the product outcome and the quality bar; the applied science team owns the science underneath it. 

This role demands high agency. You'll operate with real autonomy, make decisions without waiting for permission, and own the outcome — success measured by results, not activity. You're intellectually curious, collaborate easily across teams, and take real pride in getting it right. 

This work sits in the financial audit and assurance domain. Independent audit is one of the quiet foundations of the global economy — when investors, lenders, and regulators can trust that financial statements are accurate, capital flows and markets function. That trust rests entirely on the quality of the work, which is why the bar for AI here is so high. You don't need an accounting background to start, though one — or any real connection to the profession — adds high value. What you do need is genuine curiosity about the complexity of auditing and a deep appreciation for why quality is non-negotiable. You'll build that fluency on the job alongside experienced domain experts, and it will sharpen your judgment on what "good" really means.