Wizard is the first AI-native shopping agent delivering the smartest and fastest shopping experience, from conversational search to universal checkout. Backed by Accel and NEA.
About the role
Full-stack web engineer with database depth. Owns the web platform end-to-end: API design, schema, query performance, deploy. You'll build the collaborative layer on top of Wizard's primitives — a Frame.io -and-Figma hybrid: lightweight, collaborative editing and review tools built on the Wiz CLI the core team is already shipping. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Postgres (or comparable RDBMS)
- API design (REST or GraphQL)
- Modern web framework (Next.js, Remix, etc.)
- CI/CD comfort
More about this role
Wizard is the AI-native platform for creative work, starting with professional video: a native C++ editor and headless media runtime that humans, agents, and developers all operate.
Full-stack engineer with database depth, owning the web platform end-to-end: API design, schema, query performance, deploy.
The .wiz semantic project file is our architectural moat — Adobe and DaVinci can't adopt it without starting from zero. Making that moat real outside the desktop app — for collaborative review, on-set metadata capture, and AI-native workflows — is what this role does.
The clearest example: Wiz-Live, our concept for collapsing the gap between production and post. Traditional film sets "slate" every take — a clapboard synced to timecode — so editorial, sound, and VFX can recover critical metadata after the fact (scene, take, camera, lens, who's who). It's valuable but slow, so many productions, including our own sister company Story, skip it. Wiz-Live's bet: link the shotlist directly to camera and computer at the moment of the take, so metadata is captured and attached automatically — with local inference (object detection, character tagging, ASR, proxying) layered on top. Done...
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