Forward Deployed Engineer

Clera

• $110K — $150K *
New York, NY 10025In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 2-3+ years in consulting, finance, data engineering, or analytics.
  • Proficient in Python and SQL for data handling and automation.
  • Experience building and deploying data pipelines and ETL workflows.
  • Familiar with data warehousing tools like Snowflake or BigQuery.
  • Hands-on experience with LLM APIs and AI tools.
  • Strong business acumen and communication skills.
  • Comfortable in a dynamic, fast-paced environment.

Responsibilities

  • Own end-to-end customer deployments, including scoping and optimization.
  • Collaborate with software engineers to enhance the AI platform.
  • Transform complex business challenges into automated software solutions.
  • Participate in sales calls to discover expansion opportunities.
  • Address analytical problems with technical skill and business insight.

Benefits

  • Work at a cutting-edge Y Combinator-backed AI startup.
  • Direct visibility and influence in decisions at the C-suite level.
  • Opportunity to engage with diverse business topics and stakeholders.
  • High autonomy in a fast-paced, innovative environment.
Full 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.
* Ladders Estimates

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