You will operate at the intersection of research, systems, and delivery, helping teams plan, prioritize, and execute complex technical programs while preserving the exploratory nature of research.

What You’ll Do

• Partner with research scientists, ML engineers, and infrastructure teams to plan and deliver programs for generative video model development
• Translate research goals into clear technical milestones, timelines, and dependencies
• Drive execution across the full lifecycle: experimentation → training → evaluation → scaling → deployment
• Coordinate cross-functional efforts spanning: Model training and evaluation, Data pipelines and curation, Compute planning (GPU/TPU usage, scheduling, cost awareness), Inference optimization and deployment
• Create lightweight but effective program artifacts (roadmaps, risk registers, decision logs)
• Identify risks early (technical, resourcing, compute, data) and proactively drive mitigations
• Improve operational rigor without slowing down research velocity
• Act as a connective tissue between research, product, and platform teams
• Help define and evolve best practices for running large-scale AI research programs

Required Qualifications What We’re Looking For

• 5+ years of experience in Technical Program Management, Engineering Program Management, or similar role
• Strong technical background with the ability to engage deeply with: Machine learning concepts (especially deep learning), Large-scale training and experimentation workflows, Distributed systems or ML infrastructure
• Experience working directly with researchers or research-adjacent teams
• Proven ability to manage ambiguous, fast-evolving technical programs
• Excellent communication skills — able to align highly technical stakeholders

Preferred Qualifications

• Experience with generative models, especially video, vision, or multimodal systems
• Familiarity with: Model training at scale (multi-node, multi-GPU), Data versioning, experiment tracking, and evaluation frameworks, ML deployment and inference optimization
• Background in computer science, engineering, or a related technical field
• Experience in AI-first or research-driven organizations

How You’ll Be Successful

• You bring structure without rigidity to research-driven teams
• You’re comfortable operating in uncertainty and helping others navigate it
• You can dive deep technically, but also zoom out to align teams on priorities
• You care deeply about execution quality, but respect the iterative nature of research

Why Join Us

• Work alongside leading researchers pushing the frontier of generative AI video
• Influence how cutting-edge research becomes real-world technology
• Help shape the operational foundations of next-generation AI systems
• Competitive compensation, meaningful equity, and strong benefits