Sr. Video Editor (short-form)

Databricks·San Francisco, California·onsite
crypto:applicationbusinessIC5Marketing
Compensation
Not disclosed
MKTQ227R42 Location: San Francisco Bay Area Databricks is looking for a Short-Form Video Editor to join our in-house brand team. In this role, you'll own the full lifecycle of short-form video for our brand channels — from topic planning and storyboarding through editing, motion graphics, and publishing. You'll take raw footage shot by our subject matter experts (engineers, researchers, product leaders) and shape it into scroll-stopping, on-brand video that makes complex data and AI topics feel relevant, human, and shareable. We need someone who can operate editing software fluently, but who also has the creative judgment to know what makes a video work — the hook, the pacing, the caption strategy, the platform-native feel — and who understands how AI is changing both video production and content discovery. The impact you will have: You've built a repeatable short-form content engine for Databricks' brand channels. You've established a topic pipeline and storyboarding process — pulling from blogs, launches, webinars, and exec talks — so video output is planned and proactive rather than reactive, requiring strong content marketing instincts and the ability to work independently from a brief. You've turned raw SME footage into a recognizable, high-performing video style. Unscripted or lightly-scripted footage from engineers and executives is consistently shaped into tight, retention-optimized cuts that feel native to each platform, requiring sharp post-production editing skills and a strong eye for pacing and story. You've made AI tools a core part of the production workflow, not a bolt-on. Turnaround time on video production has meaningfully decreased because you've integrated AI-assisted editing, transcription, captioning, and repurposing tools into daily work, while keeping a human hand on creative quality — requiring genuine fluency with modern AI video tools and the judgment to know when not to rely on them. Databricks' short-form content is measurably ea