Engineering Manager, AI-Native Artifacts

Jobtailor; San Francisco (CA); Hybrid; USD 250,000 - 350,000; Full time

Job summary

Jobtailor seeks an experienced engineering leader to build and grow AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging formats.

You will set the technical direction for full-stack systems, model integration, and reliability, while partnering with research, design, and safety teams. The role requires hands-on architecture and strategic planning for the team’s next phase.

Qualifications

• 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.
• Interest in AI-native creation tools and useful documents, slides, spreadsheets, dashboards, and interactive artifacts.
• Ability to operate in ambiguous, fast-moving environments with evolving products, model capabilities, and technical architecture.
• Experience partnering with research, ML, product, design, infrastructure, or data teams.
• Strong focus on craft, quality, latency, reliability, and user experience.

Responsibilities

• Lead, manage, and grow the engineering team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging 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 the artifact creation user experience.
• Create the engineering plan for the team's next phase, 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

Skills

Team Leadership

System Design

Model Integration

Full-Stack Engineering

Latency Optimization

Reliability Engineering

Technical Direction

Artifact Creation

Clear Communication

Job description

Jobtailor seeks an experienced engineering leader to build and grow AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging formats.

You will set the technical direction for full-stack systems, model integration, and reliability, while partnering with research, design, and safety teams. The role requires hands-on architecture and strategic planning for the team’s next phase.