Faire

Own the architecture and long-term design of systems that run coding agents, including pull-request services, sandboxes, remote development environments, and integrations with Linear, GitHub, Claude, and Cursor.Own and improve the complete developer workflow from ticket creation through merged, tested code.Operate developer tooling as production infrastructure with monitoring, uptim

Define the technical direction, roadmap, tooling needs, and operating standards for detection and response at Faire.Build enterprise detection engineering end to end, including telemetry pipelines, detection content, alert routing, and enrichment.Track adversary behavior and translate it into detections, threat hunts, and tabletop exercises.Own detection and data pipelines written a

Find and fix vulnerabilities in first-party code and third-party dependencies using AI-powered detection, SAST, DAST, SCA, and secret scanning.Build shift-left tooling and CI/CD guardrails that make secure development the default.Own offensive security engagements, including penetration tests with external vendors.Evaluate and harden AI-assisted code generation workflows.Own the bug

Collaborate with product managers, designers, marketing, and other partners to advance business and engineering platform goals.Identify opportunities and oversee complex multi-phase projects across multiple teams and platforms from concept through implementation.Build features across backend, frontend, and mobile stacks.Optimize web applications for performance, scalability, speed,

Design and build reusable, high-quality frontend components across Faire’s web surfaces.Champion accessibility and performance best practices for shared components.Establish and maintain testing strategies and quality gates for the design system.Partner with engineers across the company to drive adoption and evolve the shared system.Contribute to the technical direction of frontend

Define and drive the long-term architecture of Faire’s ML platform across training, inference, feature management, and governance.Establish company-wide standards for code quality, testing, MLOps, experimentation, model lifecycle management, and observability.Lead adoption of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns.Architect scalable ML workflows using S