Product Manager, Public Sector GenAI Test & Evaluation (T&E)

<p>At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions.&nbsp;</p> <p><strong>Role Overview</strong></p> <p>The Public Sector GenAI T&amp;E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&amp;E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.</p> <p>Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.&nbsp;&nbsp;</p> <h4><strong>Minimum Qualifications (Quantifiable)</strong></h4> <ul> <li><strong>Engineering Depth:</strong> 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.</li> <li><strong>Evaluation Systems Expertise:</strong> Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications.&nbsp;</li> <li><strong>Problem Distillation:</strong> Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and