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Salary
$130k – $170k per year
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Clera scores B on the Alion truth index.

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.
Backed by TU Berlin

About the Role

Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product. You will own these systems end to end and work closely with the founding team to turn product goals into production software.

What You'll Do

  • Develop and operate recommendation, ranking, and retrieval systems.

  • Build LLM-powered matching features that improve candidate and role alignment.

  • Take features from problem definition through production, shipping at a rapid cadence.

  • Architect and maintain the data pipelines and services that support production models.

  • Partner with the founding team to translate product goals into working systems.

What We're Looking For

  • Two to five years of professional software engineering experience building and shipping end-to-end product features.

  • Production experience with recommendation systems, ranking algorithms, or ML-powered matching, plus evidence of personally shipping ML models or products to users.

  • Strong production engineering skills in TypeScript or Python, with hands-on experience using PyTorch, TensorFlow, or an equivalent ML framework.

  • Experience building LLM-powered features with production APIs, as well as maintaining production data pipelines and services.

  • Strong computer science fundamentals and experience working in fast-paced environments with rapid iteration.

  • React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are useful additions.

  • Demonstrated technical achievement through substantial projects, open-source work, or comparable experience.

Compensation & Benefits

Base salary is $130,000 to $170,000 annually, plus equity. Visa sponsorship is available for eligible candidates.

Location

On-site in San Francisco, California. The role requires working in person six days per week. Relocation assistance is available.

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