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Salary
$80k – $120k per year
Location
In office
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 20, 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 a data infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from architecture and ingestion through production operations, helping power downstream products with trusted data.

What You'll Do

  • Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.

  • Develop intake pipelines for provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling.

  • Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.

  • Build event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.

  • Preserve original payloads in Google Cloud Storage and transform data with dbt into raw, standardized, and curated layers.

  • Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.

  • Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment providers and LLM-based structured extraction.

What We're Looking For

  • At least 5 years building and operating production data platforms, with ownership spanning architecture, implementation, deployment, and ongoing operations.

  • Production experience with GCP and dbt, plus workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependency management, retries, and recovery.

  • Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.

  • Strong SQL and PostgreSQL skills in data modeling, query optimization, and reliable incremental loading.

  • Experience with event-driven systems, queues, data contracts, raw and curated storage, retention policies, automated testing, and pipeline monitoring.

  • Experience in a startup or small engineering team is useful. Web scraping, entity resolution, company or people data enrichment, and LLM-based extraction are also relevant.

Compensation & Benefits

Annual base salary: $80,000 to $120,000 USD. Visa sponsorship is not available.

Location

Fully remote, candidates must be based in Latin America.

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