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Salary
$160k – $323k per year (Estimated)
Location
In office (San Mateo)
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

This is a full-stack engineering role at a small, senior team building AI infrastructure for enterprise environments. You will own product surfaces end-to-end, from the interfaces engineers and customers interact with, to the APIs and data models underneath, with direct impact on how the platform grows and scales.

What You'll Do

  • Own complete product surfaces end-to-end, covering interfaces, APIs, and data models.

  • Split your time roughly 60% on frontend and API layer work and 40% on backend services.

  • Make complex system behavior legible and fast for engineers using the platform.

  • Define architecture, ship it to production, monitor its behavior, and fix what breaks.

  • Work without handed-down design files or specs, making the right calls independently.

  • Remove growth ceilings by making the customer-facing product obvious and intuitive.

What We're Looking For

  • 5+ years building full-stack applications with shipped products in production.

  • Proficiency with modern frontend frameworks such as React or Vue, with an eye for making complex system behavior understandable through UI.

  • Strong backend fundamentals in languages such as Python, Go, Node.js, or Java, with experience designing and implementing production APIs and data models.

  • Genuine full-stack capability: comfortable going deep on distributed systems while also owning the interface layer.

  • Demonstrated ability to make architectural decisions independently and see them through to production.

  • Experience with databases and data modeling for systems requiring real-time performance.

  • Comfort with ambiguity and ownership, thriving without detailed specs or design files.

  • Startup-speed execution and a builder-oriented background.

  • Bonus: experience with knowledge graphs, semantic systems, graph databases, real-time inference, agent-based systems, or developer-facing infrastructure products.

Location

On-site in San Mateo, California, United States. Visa sponsorship is available.

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