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Salary
≈ $65k – $157k per year (Estimated)
Location
In office (Berlin)
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 23, 2026. First seen by Alion on Oct 23, 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

About the Role

Join an early-stage AI company building tools for the global logistics industry. In this high-ownership role, you will work with the founding team across customer discovery, product development, and production systems, helping bring AI-powered workflows to users.

What You'll Do

  • Speak with customers and translate their needs into product direction and technical architecture.

  • Build full-stack features that combine user interfaces with LLM orchestration, agent workflows, and structured data pipelines.

  • Develop reliable production AI systems, addressing latency, failure recovery, and evaluation.

  • Turn early prototypes into robust systems, balancing speed with long-term quality.

  • Contribute to technical vision and product strategy, and iterate on shipped work using user feedback.

What We're Looking For

  • At least 3 years building and shipping full-stack web applications with Node.js and TypeScript in production, including recent hands-on React experience.

  • Production experience building LLM-powered features, including prompt design, structured output parsing, context management, and error recovery.

  • Experience with MongoDB schema design and query performance, distributed systems, and serverless infrastructure.

  • Familiarity with vector stores, embedding pipelines, LLM orchestration, evaluation, and structured output validation.

  • Experience using observability tools, including metrics and tracing, to debug production systems and asynchronous workflows.

  • A record of owning customer-facing products from architecture through delivery and iteration, preferably in an early-stage environment.

  • Strong customer communication skills; experience with complex B2B systems or logistics, supply chain, or operations is valuable.

Location

Hybrid, based in Berlin, Germany. The role is on-site Monday to Wednesday, with travel within Europe and an annual team offsite expected. Visa sponsorship is not available.

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