Technical Program Manager, Research to Production, Agent Systems, DeepMind

Responsibilities

• Own the path from research prototype to production for agent capabilities, from first engagement with the research team through to adoption in a product.
• Partner with researchers, research engineers, technical and program leads to understand what they are building and translate this into a prioritized backlog with clear owners, deliverables and timelines.
• Set the goals for the agent harness quality improvement workstream, then run its day to day execution, triage, stand-ups, status and escalation. Drive improvement through benchmarking and hillclimbing on metrics customers care about.
• Drive production readiness for each effort, load testing, capacity planning, quota, and the right deployment and sandbox environment with the serving team and manage handover into the receiving product team.
• - Own the path from research prototype to production for agent capabilities, from first engagement with the research team through to adoption in a product. - Partner with researchers, research engineers, technical and program leads to understand what they are building and translate this into a prioritized backlog with clear owners, deliverables and timelines. - Set the goals for the agent harness quality improvement workstream, then run its day to day execution, triage, stand-ups, status and escalation. Drive improvement through benchmarking and hillclimbing on metrics customers care about. - Drive production readiness for each effort, load testing, capacity planning, quota, and the right deployment and sandbox environment with the serving team and manage handover into the receiving product team.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree in a technical field, or equivalent practical experience. - 5 years of experience in technical program management. - 5 years of experience across all phases of a product development from prototype to mass production to end of life. - 5 years of experience in software development life-cycle and stakeholder management. - 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLM's. Preferred qualifications: - Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience. - 5 years of experience managing cross-functional or cross-team projects. - 2 years of experience in software development or engineering.