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Salary
$180k – $230k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 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

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

What You'll Do

  • Improve agent output and content quality across social channels and article writing, making quality measurable through evaluation systems.

  • Improve performance across search engine optimization and generative engine optimization.

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

  • Own and 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 building production machine learning or AI systems, including recent hands-on experience shipping LLM products or agents.

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

  • Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.

  • Experience building feedback loops, improving production AI systems, and owning work in a startup or small team.

  • Familiarity with search, ranking, or AI answer engines; marketing experience is a plus, while recommendations, algorithms, or reinforcement learning experience is also relevant.

Compensation & Benefits

Annual base salary is $180,000 to $230,000 USD. Visa sponsorship is not available.

Location

On-site in San Francisco, California.

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