Staff Technical Program Manager, Advanced Technology Group

Role overview Lead complex technical programs that move machine-learning and AI capabilities from research into reliable, widely adopted products. Working across research, platform, infrastructure, safety, and product groups, you will turn strategic direction into coordinated roadmaps, decisions, and measurable results.

Responsibilities - Coordinate multi-workstream programs across research, platform engineering, infrastructure, safety and compliance, and product teams. - Partner with senior product and engineering leaders to define scope, staffing, milestones, governance, and decision paths. - Manage the transition from model development and evaluation through release, serving capacity, and product-team adoption. - Set and track measures and guardrails for quality, cost, reliability, adoption, and cycle time. - Facilitate technical reviews, raise risks and trade-offs early, and align stakeholders on decisions. - Establish planning, intake, launch-readiness, review, and post-mortem practices; use AI tools to streamline tracking and reporting.

Requirements - Eight or more years in technical program management, engineering, or a related field, including leadership of organization-wide, multi-team AI, ML, or platform programs. - Technical degree or equivalent practical experience, with deep understanding of ML systems, including training, evaluation, serving, GPU capacity, and releases. - Experience influencing senior product and engineering leaders and shaping prioritization across organizations. - Background designing planning and governance processes across multiple teams or organizations. - Strong analytical skills, including SQL, dashboards, and use of experiment or evaluation data to guide decisions. - Comfort with ambiguity and collaboration across technical, legal, privacy, and safety teams; excellent written and verbal communication.

Nice to have Experience adopting large language or multimodal models, adapting open-source models, building evaluation frameworks, or moving workloads between model providers.

Benefits and work setup The role can be based anywhere in the country and requires in-person collaboration one to two times per quarter. Relocation assistance is not available. The position includes equity eligibility; the listed US base salary range is $145,747–$300,067.