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Elevate
Posted 174 days agoVerified live 1d ago

Forward Deployed Engineer (FDE)

Brief overview

New York, NYIn-person
$110k–$150k/yrStated range
2+ yrsMinimum
SQLPythonData engineeringAnalyticsAI toolsLLM APIsBuilding internal data platformsMigration pipelinesAgentic workflowsConsultingFinanceM&APrivate equityRoll-ups

About the company

Elevate is the AI data operating system for PE- and VC-backed roll-ups.

Job description

Summary

Elevate is an AI operating system for acquisitions, seeking high autonomy, analytical Forward Deployed Engineers to build AI systems for private equity-backed roll-ups. The role involves translating real-world complexity into scalable software, owning customer deployments end-to-end while collaborating with the software engineering team.

Responsibilities

  • Own customer deployments end-to-end — scoping, business logic translation, data ingestion, pipeline delivery, and ongoing optimization — working directly with mid-market to large-cap operators
  • Build and extend our agentic AI platform, in direct collaboration with our software engineering team
  • Support go-to-market by joining sales calls and identifying customer expansion opportunities

Skills

  • 2+ years experience in consulting or finance, with a desire to grow your technical chops, or data engineering and analytics, with a desire to be directly customer-facing
  • Strong analytical fluency working with messy data in SQL and/or Excel
  • Excellent communication and business sense - you're comfortable talking to CFOs and operators, not just engineers
  • Scrappy, autonomous, and action-oriented
  • Hungry to build
  • Have hands-on experience building with AI tools and LLM APIs, even for personal use
  • SQL and Python proficiency or a strong desire to get there quickly
  • You've built internal data platforms, migration pipelines, or agentic workflows
  • Experience in or exposure to private equity, roll-ups, or M&A

Qualifications

Must Haves

  • 2+ years experience in consulting or finance, with a desire to grow your technical chops, or data engineering and analytics, with a desire to be directly customer-facing
  • Strong analytical fluency working with messy data in SQL and/or Excel
  • Excellent communication and business sense - you're comfortable talking to CFOs and operators, not just engineers
  • Scrappy, autonomous, and action-oriented
  • Hungry to build

Nice to Haves

  • Have hands-on experience building with AI tools and LLM APIs, even for personal use
  • SQL and Python proficiency or a strong desire to get there quickly
  • You've built internal data platforms, migration pipelines, or agentic workflows
  • Experience in or exposure to private equity, roll-ups, or M&A

Benefits

  • Competitive cash compensation
  • Meaningful equity in an early-stage, high-growth company

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