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Forward Deployed Engineer

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

  • Remote from: New York (USA)
  • Full time
  • Mid-level (2-5 years)
  • 110 - 150K yearly
  • English

Other skills

  • Communication
  • Business Acumen
  • Action Oriented
  • Problem Solving

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

Company details

IndustryStaffing & Recruiting
Company size11-50

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Job description

About the Role

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.

What You'll Do

  • 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.

What We're Looking For

  • 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.

Compensation & Benefits

Base salary range: $110,000 – $150,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in New York, NY.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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