Luma AI jobs

Sales Manager role at Luma AI, a generative AI creative technology startup, leading West Coast sales expansion. Requires building and managing 5+ AE team, managing strategic enterprise accounts with creative/advertising agencies and brands, and refining go-to-market playbooks. Needs 8+ years sales experience, 3+ years sales management, and relocation to Los Angeles or San Francisco Bay Area. Compensation $137.5K–$175K.

This role is a Senior Video Editor position at Luma AI, an AI video generation company. The core responsibilities include owning end-to-end video editing, motion graphics, sound design, and narrative direction for product launch assets and brand campaigns. The role requires 3-5+ years of professional video editing experience, expert proficiency in After Effects and DaVinci Resolve, and autonomous creative ownership. The position is based on-site in Los Angeles, New York, or SF Bay Area.

Revenue Operations Lead role at Luma AI (multimodal AI company in Redwood City, CA, hybrid). Core responsibilities include owning GTM technology stack (Salesforce, CRM optimization), building reporting dashboards, managing lead routing/lifecycle processes, supporting forecasting and planning cycles, and designing commission/compensation models. Requires 5+ years RevOps/sales ops experience, Salesforce/HubSpot proficiency, and expertise in high-growth SaaS environments. Hybrid SF Bay Area location.

Sales Manager at Luma AI, a frontier creative AI technology company serving brands and advertising agencies. 0-to-1 East Coast sales leadership role responsible for full strategic account sales cycle, hiring and leading 5+ Account Executives, and building regional sales playbook and pipeline. NYC-metro based with relocation requirement. Salary $137.5–175k. Requires 8+ years sales experience (MarTech/creative tools preferred), 3+ years sales management, deep East Coast agency network, and player-coach mindset in high-growth environment.

Luma AI's Head of Global Compute Supply & Platform Strategy is an executive-level infrastructure role ($250K–$450K) responsible for architecting compute strategy, leading platform/infrastructure teams, optimizing GPU fleet utilization, and managing multi-million-dollar capital allocation for AI research infrastructure. The role requires 10+ years of distributed systems leadership and direct operational oversight of 10k+ GPU environments in production—this is a C-suite equivalent, AI infrastructure engineering leadership position, not a Revenue/Business Operations role. Based in SF Bay Area, non-remote.