--- title: 'Forward Deployed Finance Engineer, Real Estate at Harvey' canonical: 'https://feeny.ai/job/forward-deployed-finance-engineer-real-estate-harvey-new-york-334mnktvk22d' type: 'job' last_seen: '2026-11-09' --- # Forward Deployed Finance Engineer, Real Estate at Harvey - **Company:** [Harvey](https://feeny.ai/companies/harvey) - **Location:** New York, NY - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-06 - **Last confirmed live:** 2026-11-09 - **Apply:** https://jobs.ashbyhq.com/harvey/576271e5-a578-40de-8706-b8d932b5788c ## Job description ## Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ## Role Overview Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to real estate. You will build the real estate playbook — demo library, workflow templates, use cases — while running live pilots, and lead the real estate practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. ## What you'll do Forward Deployed Finance Engineers on the real estate team are former acquisitions and real estate credit professionals who left the deal side to help build the future of how property gets underwritten. Working closely with Account Executives, they engage with real estate private equity platforms, real estate debt funds, insurer and asset-manager real estate arms, and developer-investors throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding investors through what's possible with AI, and sitting down with acquisitions teams to build screening, underwriting, and investment committee workflows in the firm's own templates and formats. The work is the work they did on the desk: OM and broker package review; rent roll and T-12 normalization; lease and estoppel abstraction; ARGUS and acquisition model builds; third-party report review (appraisal, property condition, environmental); sale and rent comps; loan document and term sheet review; and investment committee materials. It continues post-close into asset management reporting, loan compliance, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring acquisitions-team feedback back into the product, helping shape the future of Harvey. ## What you have - 3+ years on an acquisitions, asset management, or real estate credit team at a real estate private equity platform, real estate debt fund, insurer or asset-manager real estate arm, or developer-investor, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting committee materials. Brokerage, valuation, or investment banking experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a real estate investment decision — OM and broker package, rent roll and T-12, leases and estoppels, third-party reports, loan documents, ARGUS and Excel acquisition models — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking or brokerage coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. ## Compensation - OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here](https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74). ## #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai ## About Harvey ## Company Overview - **One-liner**: Harvey builds domain-specific AI software for legal and professional services, enabling law firms and in-house teams to automate research, contract analysis, due diligence, and complex workflows. - **Entity Type**: Private (backed by leading venture capital firms) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Winston Weinberg (CEO), Gabriel Pereyra (President) ## Core Business - **Primary industry**: AI software for legal and professional services (LegalTech) - **Target customers**: B2B – large law firms (AmLaw 100), in-house legal teams at Fortune 500 enterprises, mid-sized firms, and professional service networks across 60+ countries. - **Mission or purpose statement**: To enable legal and professional services teams to focus on high-value work by providing a secure, expert AI platform that handles research, drafting, and complex workflows. ## Products & Services - **Harvey Assistant**: Ask questions, analyze documents, and draft faster with domain-specific AI (SaaS). - **Harvey Vault**: Securely store, organize, and bulk-analyze legal documents (SaaS). - **Harvey Knowledge**: Research complex legal, regulatory, and tax questions across domains (SaaS). - **Harvey Agents**: Purpose-built agents that execute complex legal work end-to-end (SaaS). - **Harvey Contract Intelligence**: Surface insights, strengthen negotiations, and accelerate reviews (SaaS). - **Harvey Command Center**: Analytics, benchmarking, and agentic insights for leading AI transformation (SaaS). - **Harvey Mobile**: Mobile access to stay productive from anywhere (SaaS). - **Harvey Shared Spaces**: Collaborate with legal teams across organizations in secure shared workspaces (SaaS). - **Harvey Ecosystem**: Integration with existing tools to ground answers in trusted sources (API/platform). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (company is private). - **Key Metric**: Annual Recurring Revenue (ARR) – reported in press but exact figure not disclosed; strong growth implied by 1,500+ customers and rapid hiring. - **Notable Investors/Partners**: Sequoia, Kleiner Perkins, GV (Google Ventures), OpenAI Startup Fund, Coatue, Andreessen Horowitz, EQT. - **Growth Signals**: - Named Time100 Most Influential Companies (2025). - LinkedIn Top 50 Startup of 2025. - CNBC Disruptor 50 List. - 1,500+ customers across 60+ countries, including AmLaw 100 firms. - Headcount: ~300 employees (as of mid-2025), with aggressive hiring (254 active job postings). - Office expansion: San Francisco, New York City, London. ## Competitive Advantages - **Domain specialization**: AI models trained specifically for legal and professional services, not generic LLMs. - **Enterprise security**: SOC 2 Type II, ISO 27001/27701/42001, GDPR, CCPA compliance – meeting law firm security requirements. - **Deep investor backing**: World-class VC network provides strategic guidance and access. - **Strong product‑market fit**: Rapid adoption by top-tier law firms and in-house teams, with high switching costs due to embedded workflows. - **First‑mover in agentic legal AI**: Purpose‑built agents execute end‑to‑end tasks, differentiating from simple document Q&A tools. ## Strategic Focus - **Customization, collaboration, and simplicity**: Helping teams embed expertise into Harvey, collaborate across firms, and reduce complexity via agentic workflows. - **Expansion beyond legal**: Long‑term ambition to transform professional services broadly (consulting, accounting, etc.). - **Product innovation**: Continued investment in agentic AI, mobile access, and ecosystem integrations. - **Global growth**: Scaling sales and engineering teams in existing hubs and expanding into new markets. ## Why Work Here - **Culture**: Fast‑paced, collaborative, ambitious. Values include **Decisiveness** (“take the square root of the weather” – avoid overanalysis), **Simplicity**, and **Job’s Not Finished** (continuous improvement). - **Work environment**: Hybrid – 3+ days per week in office for roles based in San Francisco, New York City, or London. Some fully remote positions available (clearly marked). - **Benefits**: Comprehensive health/dental/vision insurance, 401(k) match, paid parental leave (immediately eligible), annual professional development stipend, in‑office daily lunch, and more. - **Growth opportunities**: Rapidly scaling (~300 employees, 254 open roles) provides internal mobility and ownership of impactful projects. - **Engineering culture**: Strong blend of AI research (DeepMind background) and legal domain expertise. CTO Siva Gurumurthy recently joined. Emphasis on building secure, enterprise‑grade products. ## Sources 1. [harvey.ai](https://www.harvey.ai/) 2. [harvey.ai/company](https://www.harvey.ai/company) 3. [harvey.ai/blog/landing-a-job-at-harvey](https://www.harvey.ai/blog/landing-a-job-at-harvey) 4. [linkedin.com/company/harvey-ai](https://www.linkedin.com/company/harvey-ai) 5. 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