Launch Producer

OpenAI•San Francisco, CA

1d•$207,000 - $230,000•Hybrid

About The Position

The Launch Producer leads creative delivery for Research-led launches, from the initial brief through production and release. The role works closely with Research to understand the capabilities, limitations, and context behind each launch, then helps creative teams turn that understanding into accurate, compelling work. The producer owns production plans and day-to-day delivery across internal teams and external partners. Responsibilities include shaping actionable briefs, securing inputs and resources, facilitating productive reviews, and adapting as research and launch plans evolve. The role calls for calm judgment, technical curiosity, and respect for creative craft in fast-moving work where accuracy matters as much as timing. The position is based in San Francisco, California, with a hybrid schedule of three days in the office per week. Occasional travel is required. Relocation assistance is offered to new employees.

Requirements

At least 8 years of experience producing complex creative work for technology or research-driven launches, with hands-on responsibility from briefing and scoping through production and delivery.
Deep technical curiosity and hands-on drive to understand Research, learn as technology evolves, and work confidently with researchers and engineers.
Fluency and confidence with AI tools and workflows, including hands-on use in creative production and sound judgment about quality, accuracy, and when human review is needed.
Understanding of design, motion, film, and digital production sufficient to scope work, anticipate dependencies, and support creative teams.
Experience managing production partners, budgets, schedules, reviews, and delivery requirements across several concurrent workstreams.
Clear communication and ability to build trust across disciplines, incorporate feedback, challenge assumptions constructively, and make tradeoffs visible while maintaining momentum.
Ability to thrive in a fast-paced environment with changing inputs and compressed timelines; remain composed and organized, protect essential reviews and quality checks, and find workable paths forward.
Discretion with unreleased research, launch plans, partner information, and production budgets.
Genuine interest in AI and creative craft.

Nice To Haves

Experience working directly with AI researchers or producing model launches, technical demonstrations, or scientific storytelling.
Experience delivering localized creative across markets and coordinating rights, approvals, and asset versioning.

Responsibilities

Build close working relationships with Researchers and technical product partners.
Partner with Research, Product, Product Marketing, Communications, and Creative leads to translate launch priorities into clear briefs, deliverables, production scopes, and approval plans.
Own projects from creative development through final handoff; set milestones and owners, track dependencies, and surface changes in research readiness, scope, or timing with practical options.
Produce integrated launch assets across design, motion, film, demos, web, and social, including creative assets for research blogs and system cards; align specialist teams around a consistent story.
Manage production resources and external partners, including scopes, estimates, budgets, and vendor deliverables; coordinate with appropriate teams on statements of work, purchase orders, and usage rights.
Lead reviews with Research and technical, legal, policy, and creative owners from early input through final approval; turn feedback into clear actions, resolve conflicts, document decisions, and ensure changes to model names, claims, demos, and product behavior are reflected across affected assets before release.
Plan versioning and localization with channel and regional partners; oversee asset QA, specifications, and final handoffs to ensure teams publish the correct approved versions.
Keep briefs, timelines, decisions, and final assets easy to find; close out production, capture lessons, and improve repeatable workflows without unnecessary process.