The opportunity
The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a…
What you'll do
Lead, manage, and grow a team building AI-native artifact creation: experiences across documents, spreadsheets, slide decks, and emerging artifact formats.
Set technical direction across full-stack product systems, generation: orchestration, editing and rendering surfaces, storage, reliability, and model integration.
Responsible for hands-on architecture, code review, debugging, system design, and critical product decisions.
Partner closely with research teams to translate model capabilities, training: needs, evals, and behavioral insights into shipped product improvements.
Work with product, design, infrastructure, and safety partners to define what: excellent artifact creation should feel like for users.
Create the engineering plan for the next phase of the team, including hiring,: execution milestones, technical investments, and operating cadence.
What they're looking for
- Balance near-term product velocity with long-term platform quality,: reliability, extensibility, and developer productivity.
- Debug complex failures across model behavior, product surfaces,: infrastructure, latency, and user-facing quality.
- Help expand the team’s scope from familiar artifact types into new forms of AI-native work products.
- Have experience leading engineering teams while remaining technically close to the work.
