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Harvey

Builds AI software for lawyers

Forward Deployed Finance Engineer - Private Credit

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Have 6+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work including screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Principal-side deal execution is required. Asset-based and specialty finance backgrounds are welcome; leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome.
  • Have a strong command of lender presentations and confidential information memoranda, quality of earnings reports and data packs, models, credit agreements and intercreditor agreements, and compliance certificates, and an instinct for identifying where figures and documents disagree.
  • Have advanced Excel and financial modeling skills, comfort with prompting and agentic AI workflows, and a builder's instinct for turning repeated manual processes into repeatable automation.
  • Have executive presence and relationship-building skills to establish credibility with analysts and associates through partners and credit committee members.
  • Be comfortable leading live demonstrations, facilitating workshops, and participating in technical conversations about covenant packages or underwriting assumptions.
  • Bring deep curiosity about AI's potential to transform investment work, a practical, solutions-oriented mindset, and a bias toward action.
  • Have a track record of partnering with senior stakeholders to drive results, testing approaches, and optimizing for customer outcomes.

Responsibilities

  • Lead discovery, demonstrations, pilots, trainings, onboarding, and custom builds alongside Account Executives and Customer Success Managers.
  • Translate investment work into Harvey solutions and serve as a trust layer across the customer lifecycle, from initial pilots to complex custom-built workflows.
  • Build the private-credit playbook, including a demonstration library, workflow templates, and use cases, while running live pilots and leading the credit practice as the team grows.
  • Work with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout presales and beyond; lead pilots on live opportunities, guide lenders through AI capabilities, and build screening, underwriting, and credit committee workflows in firms' own templates and formats.
  • Perform or support lender presentation and confidential information memorandum review, quality of earnings read-throughs and data-pack analysis, cash-flow and leverage modeling, sizing and structuring, covenant and credit-agreement review, credit-memo drafting, and comparable-company analysis.
  • Support post-close compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting.
  • Bring credit-team feedback into the product and help shape Harvey's product roadmap.
  • Travel around 2–3+ times per month for significant business needs, typically for 1–3 days at a time.

Desired Qualifications

  • Python, SQL, or experience building internal tools.
  • Customer-facing or commercial experience, such as LP or investor relations, capital formation, or banking coverage, and/or hands-on experience using AI tools in an investment setting.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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