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Forward Deployed Engineer

Hebbia

Hebbia

Software Engineering
New York, NY, USA
Posted on Thursday, November 9, 2023

About Hebbia

Hebbia is the first LLM productivity tool. Our general purpose suite allows users to extract, structure, and analyze information 10x faster and more accurately. Hebbia was securely built to process highly-sensitive data and supports full, end-to-end encryption so users can leverage the full capabilities of state-of-the-art LLMs over complicated and sensitive data.

Today, Hebbia powers core diligence workflows for the largest financial services firms in North America, with additional enterprise engagements in legal and federal.

We’ve raised $30M across three rounds of financing from the world's boldest AI investors, including Index Ventures, Peter Thiel, Jerry Yang, Ram Shriram, Marty Chavez, and Pieter Abbeel.

Job Description

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter.

You will own end-to-end execution of projects with strategic customers, working directly with customers and internal engineering teams to implement solutions. You'll have close feedback loops with users and our Product team. In the past few months, we have:

  • Rolled out the largest-scale semantic index ever
  • Supported on critical workflows from SVB exposure analysis to deal diligences and DoD acquisitions
  • Fine-tuned foundation models to scale beyond narrow academic benchmarks

This role is based out of our New York City office in Soho.

Responsibilities

A day might span:

  • Meeting with C-suite executives to understand their AI strategy and workflows
  • Helping scope tradeoffs and timelines with our deployment team
  • Designing and implementing a custom solution, and iterating with stakeholders

Who You Are

  1. 3+ years solutions engineering or deployment at a venture-backed startup or top industry AI group
  2. Embraces rapid prototyping with an emphasis on user feedback
  3. Deep expertise in one or multiple: full-stack development, platform engineering, ML, infrastructure, security
  4. Autonomous and excited about taking ownership over major initiatives
  5. Extreme passion for learning, growth, and leadership

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