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Harvey

Builds AI software for lawyers

Forward Deployed Finance Engineer - Buyout

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 3 or more years on the investment team at a buyout fund (middle-market or lower-middle-market, ideally with add-on activity), or at a growth-buyout or sector-specialist fund, with demonstrated ownership of live deal work including screening, underwriting, diligence workstreams, modeling, and drafting investment committee materials; principal-side deal execution is required, while investment banking or transaction advisory experience before the buyside is welcome.
  • Have a strong command of buyout decision documents and data, including CIMs and management presentations, quality of earnings (QoE) materials and data packs, banker and operating models, leveraged buyout (LBO) models, purchase agreements, and financing terms, and be able to identify discrepancies between numbers and documents.
  • Have advanced Excel and financial modeling skills, comfort with prompting and agentic AI workflows, and the ability to turn repeated manual processes into repeatable automation.
  • Have executive presence and relationship-building skills to establish credibility with analysts, associates, partners, and investment committee members.
  • Have communication and presentation skills to lead live demos, facilitate workshops, and discuss underwriting assumptions in technical conversations.
  • Have curiosity about AI's potential to transform investment work, a practical and solutions-oriented mindset, and a bias toward action.
  • Have a track record of partnering with senior stakeholders to drive results, and curiosity about testing approaches and optimizing customer outcomes.

Responsibilities

  • Lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside Account Executives and Customer Success Managers.
  • Translate real investment work into Harvey solutions and serve as a trusted partner across the customer lifecycle, from initial pilots through custom-built workflows.
  • Design, build, and refine solutions for investment teams, and bring deal-team feedback into the product to help shape the product roadmap.
  • Build the buyout playbook, including a demo library, workflow templates, and use cases, while running live pilots and leading the buyout practice as the team grows.
  • Work with middle-market and lower-middle-market buyout funds, sector specialists, and serial acquirers during presales and beyond; lead pilots on live opportunities, guide sponsors on AI capabilities, and build screening, underwriting, diligence, and investment committee workflows in firms' own templates and formats.
  • Support deal work including CIM and management presentation review; QoE and data pack analysis; banker and operating model interrogation; LBO and returns analysis; comparable-company analysis; add-on screening; and investment committee materials.
  • Support post-close portfolio monitoring, add-on pipeline tracking, and valuation work.
  • Travel approximately 2–3 or more 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, banking coverage, or business development.
  • 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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