Technical Program Manager, Research
Luma AI
IT, Operations
San Francisco, CA, USA
Technical Program Manager - Generative AI Video Models
- 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
- 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
- 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
- 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
- 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