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Salary
$120k – $200k per year
Location
In office (San Francisco)
Seniority
Staff · 10+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 5, 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.

About the Role

Join an AI/ML team focused on making production agents more reliable by detecting failures, evaluating potential fixes, and helping teams build systems they can trust. This role owns the intelligence behind what gets flagged, how confidently it is identified, and whether a proposed fix works.

What You'll Do

  • Detect subtle agent failures, including incorrect responses that appear compliant, omissions, and patterns that emerge across many traces.

  • Turn indirect user signals, such as rephrasing, abandonment, and retries, into evidence that an agent has failed.

  • Build evaluations that help measure detection quality and improve performance even when labeled ground truth is unavailable.

  • Make patch generation trustworthy by reproducing failures, verifying fixes, and avoiding low-confidence changes.

  • Improve the cost and quality tradeoffs of model-based evaluation, including when to use a smaller model or no model.

  • Review real production traces regularly to identify problems and guide improvements.

What We're Looking For

  • Experience can range from new graduate to approximately 10 years; strong ability to learn and improve is valued.

  • A track record of shipping products or systems that people actually use.

  • Hands-on experience with LLMs in production, including evaluations, LLM-as-judge approaches, and embeddings.

  • Good research judgment and the ability to distinguish meaningful improvements from noise, including when ground truth is limited.

  • Experience operating agents in production and learning from their failures is a plus.

Compensation & Benefits

Salary range is $120,000 to $200,000 USD annually. Visa sponsorship is not available.

Location

This is an on-site role based in San Francisco, United States.

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