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Location
In office (Berlin)
Seniority
Staff · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 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

Lead the design and development of a data platform for a B2B procurement technology product. This hands-on technical leadership role owns the path from enterprise data integrations to reliable analytics, working closely with product and engineering colleagues and customer IT teams.

What You'll Do

  • Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis.

  • Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.

  • Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls.

  • Own data ingestion, orchestration, monitoring, and recovery for production systems.

  • Create tools and workflows that make onboarding data, investigating issues, and delivering analytical features more efficient.

  • Experiment with AI development tools and automation to improve team workflows.

What We're Looking For

  • At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.

  • Strong SQL and Python skills, with experience in data modeling and query optimization.

  • Practical experience designing multi-tenant systems with data isolation and access controls.

  • Experience integrating enterprise systems such as ERPs and collaborating directly with customer IT teams.

  • Experience owning ingestion, orchestration, monitoring, and recovery in production.

  • Background in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.

  • Sound technical judgment, initiative, fast execution, and thoughtful use of AI development tools.

Compensation & Benefits

Competitive salary and meaningful equity. Visa sponsorship is not available.

Location

On-site in Berlin, Germany. Candidates should be based in Berlin or willing to relocate.

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