Legal Solutions Engineer, Credit

Reposted 24 Days Ago
Be an Early Applicant
New York, NY
170K-210K Annually
Mid level
Artificial Intelligence • Legal Tech • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Hebbia is the AI interface for knowledge work.
The Role
As a Legal Solutions Engineer, you will optimize legal processes related to credit agreements by creating AI-powered workflows, engaging with users, and leading product development efforts.
Summary Generated by Built In

About Hebbia

The user interface for AGI – Hebbia is AI that works the way you work.  

Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources.   By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them.  Our mission is to put capable AI in the hands of 1 billion people by 2030.

Job Description

As a Legal Solutions Engineer at Hebbia, you will play a critical role at the intersection of legal and credit, focusing on optimizing our product for the service of credit agreements and other complex document workflows. You will be responsible for reimagining current legal processes, helping to build world-class solutions, and defining the future of AI in this specialized field.

We're seeking highly motivated professionals with a strong legal background, who are comfortable in a fast-growing and ambiguous environment. Our ideal candidate will challenge the status quo, rethink traditional approaches in their former space, and serve as a thought leader on our team. 

If you love solving tough challenges and have a passion for transforming antiquated processes in legal and finance, join Hebbia to shape the future of knowledge work.

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

Responsibilities

  • Domain Expertise: Pioneer workflows addressing the most painful legal practices related to credit and finance
  • Workflow Engineering: Create and optimize AI-powered workflows in Hebbia's application through advanced prompt engineering
  • Customer-centricity: Engage with and support users to maximize the value they derive from Hebbia in credit-legal contexts
  • Product Development: Bring the voice of both lawyers and credit professionals to our product and engineering teams, shaping the future of the product for their specialized use cases
  • Cross-functional Collaboration: Work closely with Engagement Managers and other teams to ensure successful deployment and adoption of Hebbia's solutions
  • Knowledge Sharing: Democratize learnings across teams and contribute to the development of best practices for credit-legal AI applications

Who You Are

  • Juris Doctor (JD) degree from an accredited law school
  • 3+ years of professional experience in a legal setting, preferably a leading law firm with a robust finance practice
  • Extensive experience with drafting, editing, and reviewing complex credit agreements
  • Additional experience or strong understanding of credit investing, bankruptcy court cases, leveraged finance, or restructuring
  • Proven ability to understand and articulate complex terminology
  • Strong grasp of AI and its applications in both legal and financial services spaces
  • Innate bias towards action and impact, thriving in a nimble and fast-paced environment

Compensation

In consideration of market analysis and relevant factors, the salary range for this position is set between $170,000 and $210,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, daily catered lunch, and unlimited PTO.


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The Company
HQ: New York, NY
90 Employees
On-site Workplace
Year Founded: 2020

What We Do

Hebbia is the AI platform for knowledge work used by leading finance, law, and Fortune 500 companies. The product orchestrates "AI agents" that accurately tackle the most complex tasks by breaking them down into understandable actions. Users can collaborate with AI to extract, structure, and analyze millions of documents at scale, allowing for full workflow automations with generative AI.

We've raised funding from a16z, Google Ventures, Peter Thiel, Index Ventures (via Mike Volpi), Jerry Yang (founder of Yahoo), Ram Sriram (one of the first investors in Google), and others, and have built the fastest-moving team in the world.

Hebbia AI Offices

OnSite Workspace

Typical time on-site: None
HQNew York, NY
SoHo

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