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Salary
$160k – $220k per year
Location
In office
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 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.

About the Role

Build and own the data foundation behind pricing for an online resale marketplace. You will turn noisy, inconsistent sold-listing data into trustworthy comparable sales and price estimates, partnering closely with the computer vision team to define how items are matched across sources.

What You'll Do

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

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

  • Create valuation logic that weighs factors such as recency, condition, and the number of comparable sales.

  • Monitor data quality and identify drift, suspected fraud, and stale comparable listings before they affect users.

  • Work with the computer vision lead to determine what qualifies as the same item across data sources.

  • Evaluate data sources, licensing options, and third-party pricing feeds, making practical build-versus-buy recommendations.

What We're Looking For

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

  • Experience working with noisy or adversarial data, such as marketplace, pricing, or fraud-related data.

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

  • Some exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.

  • Sound judgment around ambiguous data quality tradeoffs and the ability to communicate pricing confidence and uncertainty to non-technical stakeholders.

  • Experience in pricing intelligence, entity resolution, data licensing, or an early-stage startup is a plus.

Compensation & Benefits

The salary range is $160,000 to $220,000 USD annually.

Location

Remote within North America.

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