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As a  Technical Program Manager , 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. 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. Key Responsibilities End-to-End Program Ownership:  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. Cross-Functional Architecture Integration:  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. Technical Translation & Executive Influence:  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. Risk & Dependency Mitigation:  Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity. Process Evolution:  Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles. Metrics-Driven Accountability:  Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership. Minimum Qualifications 5+ Enterprise-Scale Experience:  5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects. Engineering Domain Expertise:  2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems. AI/ML Literacy:  Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation. Masterful Communication:  Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts. Execution Excellence:  Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.). Growth Mindset:  An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure. Nice-to-Have Qualifications Engineering Roots:  Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management. Platform Adoption Track Record:  Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independ