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Salary
$160k – $220k per year
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 6, 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 founding data engineer on a marketplace team, you will build the data pipelines and pricing systems that turn inconsistent sold-listing data into reliable comparable sales and estimates. Your work will help ensure users and stakeholders can understand both the price and its confidence.

What You'll Do

  • Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.

  • Design entity resolution systems that match inconsistent listing text and images to canonical items.

  • Develop valuation logic that weighs comparable sales by recency, condition, and the number of available comps.

  • Monitor data quality to identify drift, fraud, stale comps, and other integrity issues before they affect users.

  • Partner with computer vision colleagues to define item matching across sources with differing levels of detail.

  • Make build-versus-buy decisions about data sources, licensing, and third-party pricing feeds.

What We're Looking For

  • At least 5 years of data engineering experience, including building and owning large-scale production ETL and data pipelines.

  • Experience working with messy, adversarial data in marketplace, pricing, fraud, or similarly noisy domains.

  • Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.

  • Experience with statistical estimation or pricing models, including basic regression-based comparable-sales logic.

  • Experience designing entity resolution or record-linkage systems at scale, and production monitoring for data quality, drift, or anomalies.

  • Experience processing data from multiple external sources, making technical build-versus-buy decisions, and communicating pricing confidence and uncertainty to non-technical stakeholders.

  • Pricing intelligence, third-party data licensing, or early-stage startup experience is a plus.

Compensation & Benefits

Annual base salary: $160,000 to $220,000. Visa sponsorship is not available.

Location

Hybrid, New York, New York, United States.

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