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Salary
≈ $90k – $202k per year (Estimated)
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 Oct 18, 2026. First seen by Alion on Oct 18, 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

Lead the design and operation of a production data platform for a B2B procurement technology product. You will work hands-on with product and engineering teams, as well as customer IT teams, to make enterprise data reliable, secure, and useful for procurement analytics.

What You'll Do

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

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

  • Connect enterprise systems such as ERPs, choose suitable synchronization patterns, and make integrations repeatable.

  • Own data ingestion, orchestration, monitoring, and recovery, and build tools that improve onboarding and troubleshooting.

  • Explore AI-powered development tools and automation to help improve engineering 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 owning ingestion, orchestration, monitoring, and recovery, and integrating enterprise systems.

  • Comfort discussing schemas, APIs, permissions, and synchronization directly with customer IT teams.

  • Data-intensive B2B SaaS or fintech experience is useful; procurement experience is not required.

Compensation & Benefits

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

Location

On-site in Berlin, Germany.

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