Engineering Manager, Artifacts

Responsibilities

• 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.
• Own hands-on architecture, code review, debugging, system design, and critical product decisions.
• Partner with research teams to translate model capabilities, training needs, evaluations, and behavioral insights into shipped product improvements.
• Work with product, design, infrastructure, and safety partners to define excellent artifact creation experiences.
• Create the engineering plan for the team, including hiring, execution milestones, technical investments, and operating cadence.
• 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.
• Expand the team’s scope from familiar artifact types into new forms of AI-native work products.

Requirements

• Experience leading engineering teams while remaining technically close to the work.
• Strong full-stack product engineering fundamentals across frontend, backend, infrastructure, and model-facing systems.
• Ability to operate in ambiguous, fast-moving environments where product, model capability, and technical architecture are evolving.
• Experience partnering with research, machine learning, product, design, infrastructure, or data teams.
• Strong judgment about product-specific systems versus reusable platform foundations.
• Clear communication, fast learning, and sufficient technical depth to raise the bar for the team.
• Care for craft, quality, latency, reliability, and user experience.

Compensation

• Annual salary range: $347,000–$405,000