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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 Oct 29, 2026. First seen by Alion on Oct 27, 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 systems that match candidates with relevant roles. You will own this core product area and work closely with the founding team to turn product goals into production systems.

What You'll Do

  • Own recommendation, ranking, and retrieval systems from design through production.

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

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

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

  • Work directly with company leadership to translate product goals into shipped systems.

What We're Looking For

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

  • Substantive experience shipping applied AI/ML products, including production recommendation, ranking, or matching systems.

  • Experience building LLM-powered features with production LLM APIs, and hands-on work with PyTorch, TensorFlow, or equivalent ML frameworks.

  • Strong production engineering skills in TypeScript or Python, plus experience with data pipelines and services.

  • Strong computer science fundamentals and experience working in fast-paced startup environments.

  • More than six months of substantive U.S.-based work experience.

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

  • Demonstrated technical achievement through education, open-source contributions, or personal projects is valued.

Compensation & Benefits

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

Location

On-site in San Francisco, California. Relocation is supported. The role follows an in-person, six-day-per-week work schedule.

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