Technical Program Manager, Enterprise

<p>As a&nbsp;<strong>Technical Program Manager</strong>, you will partner with our Frontier Agent Engineering teams on enterprise customer engagements — owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives. This is a high-leverage, technical leadership role where you will own program delivery from initial scoping to measurable, enterprise-wide adoption. You will serve as the core communication backbone and connective tissue between engineering, product, and executive leadership.</p> <p>You are not just managing timelines; you are accountable for systemic, measurable outcomes, driving efficiency across the full agentic application development process. Operating in a hyper-growth, demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure our engineering teams deliver reliable, high-value solutions at scale.</p> <h3><strong>Key Responsibilities</strong></h3> <ul> <li><strong>End-to-End Program Ownership:</strong> Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals. Run weekly cross-functional syncs, surface blockers, drive decisions.</li> <li><strong>Cross-Functional Architecture Integration:</strong> Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to our enterprise customers.</li> <li><strong>Technical Translation &amp; Executive Influence:</strong> Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders. Drive absolute clarity across the delivery team regarding priorities, risks, and strategic outcomes.</li> <li><strong>Risk &amp; Dependency Mitigation:</strong> Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity.</li> <li><strong>Process Evolution:</strong> Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles.</li> <li><strong>Metrics-Driven Accountability:</strong> Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership.</li> </ul> <h3><strong>Minimum Qualifications</strong></h3> <ul> <li><strong>5+ Enterprise-Scale Experience:<