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# Forward Deployed Engineer

- **Company:** Y Combinator
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $110,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, BigQuery, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Software Engineering, Software Systems, SQL Databases, Data Processing, Scripting, Data Ingestion, Large Language Models, Snowflake, Data Pipelines, Amazon Redshift
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/forward-deployed-engineer-clera-9780202

## About the Role

* 2-3+ years of professional experience in consulting, finance, data engineering, or analytics.
 * Strong proficiency in Python and SQL for data processing, transformation, scripting, and automation.
 * Hands-on experience building and deploying data pipelines, ETL workflows, or data integration systems end-to-end.
 * Familiarity with data warehousing tools and concepts (e.g., Snowflake, BigQuery, Redshift) and data modeling for multi-source integration.
 * Experience building with LLM APIs and AI tools (e.g., OpenAI, Anthropic, LangChain), even in personal or side projects.
 * Excellent communication and business sense - comfortable engaging with operators and finance leaders, not just engineers.
 * Scrappy, autonomous, and action-oriented; thrives in ambiguous, fast-moving environments.
 * Exposure to private equity, roll-ups, M&A, or holding company operations is a strong plus.
 * Must be a U.S. citizen; visa sponsorship is not available.

## Description

This is a Forward Deployed Engineer role at a Y Combinator-backed AI startup building agentic software for the acquisitions and M&A space. You'll sit at the intersection of product and customer, translating complex real-world business problems into scalable autonomous systems - with direct visibility into the C-suite and meaningful influence over the core platform., * Own customer deployments end-to-end - from scoping and business logic translation through data ingestion, pipeline delivery, and ongoing optimization.

 * Build and extend an agentic AI platform in close collaboration with the software engineering team.
 * Turn messy, real-world business problems into autonomous software solutions.
 * Join sales calls and identify expansion opportunities to support go-to-market efforts.
 * Work with high autonomy on analytical problems that demand both technical depth and sharp business acumen.


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