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Salary
$180k – $230k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 15, 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

As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops that help the product deliver reliable results.

What You'll Do

  • Improve agent outputs and content quality across social channels and article writing, and build evaluations that make quality measurable.

  • Improve search engine optimization and generative engine optimization performance.

  • Build feedback loops that help agents learn from real-world results and performance signals.

  • Improve AI infrastructure, agent architecture, model strategy, and supporting data pipelines.

  • Help hire and lead the AI team as it grows.

What We're Looking For

  • At least 3 years of experience building production machine learning or AI systems, including recent hands-on work shipping LLM products or agents.

  • Experience designing evaluation systems and using outcome signals at scale in search, ranking, recommendations, or related domains.

  • Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with the ability to ship end to end.

  • Production experience with applied AI, such as LLM reasoning, post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.

  • Experience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.

  • Ownership experience in a startup or small team, plus experience with search, ranking, or AI answer engines, particularly Google.

  • Experience at a leading AI lab or comparable evidence of technical achievement is valued. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are relevant strengths.

Compensation & Benefits

Target annual compensation is $180,000 to $230,000 USD. Visa sponsorship is available.

Location

On-site in San Francisco, California.

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