Engineering Program Manager, Responsible AI & Safety

Quick Facts

• Role: Engineering Program Manager (Responsible AI & Safety)

Description

Lead and coordinate early engagements on product architecture, feature definition, and program execution for Responsible AI (Safety). Collaborate with relevant partner organizations to develop and implement policies, standards, and processes that align with the ML model safety lifecycle—driving transparency and mitigating risks associated with machine learning model development and deployment.

Responsibilities

• Provide clear, timely, and objective communication, including regular program status updates and critical issues to the executive team
• Coordinate discussions and break down complex issues into topics to drive engineering and design alignment
• Create and manage project timelines with dependencies, critical path, and systematic status methodology; manage risks and re-plan as events warrant
• Drive on-time delivery and deployment; identify development and feasibility needs; define checkpoint achievements and status updates
• Proactively identify issues and solutions; marshal resources; prioritize tasks and track risks for schedule and product quality, including cross-functional dependencies

Requirements

• 6+ years of experience in project or program management shipping machine-learning-driven products to worldwide users
• Designed delivery of multiple significant client/server software products requiring large organizations (100+) to accomplish
• Project management skills to structure and manage multiple interdependent work streams
• Detailed understanding of testing, build, and release processes for sophisticated software
• Ability to negotiate and distill complex technical requirements from multiple partners into a coherent long-term platform roadmap
• Data-driven decision-making skills; experience leading metrics-driven projects or programs
• Experience in group facilitation, interviewing, and influence
• Ability to communicate abstract ideas clearly and independently manage complex project objectives
• Strong verbal and written communication skills for negotiation, presentation, and influence
• Ability to independently draft and present deliverables, recommendations, timelines, and communication strategies
• BS, MS, or PhD in computer science, engineering, or other technical area, or equivalent related experience

Benefits

• Help build a culture of technology responsibility while mitigating risks in machine learning development
• Direct impact on ethical and safe deployment of machine learning models through end-to-end program execution