About The Position

At LightBox, we strive to not only equip confident, data-driven decisions across sectors, but to also enrich lives by bringing people, information, and technology together. As a company with a wide range of clients, we believe a diverse workforce is crucial to success. Our commitment to inclusion across race, gender, age, religion, identity, and experience is the foundation upon which we operate and connect with our customers and the communities in which we work. With our expertise, we are producing the best available data, workflow tools, technology, and analytics to support everyone making a real estate decision. There has never been a better time to make an impact and we invite you to join us on this journey. LightBox is a leading provider of data and workflow solutions across commercial real estate and location intelligence. Our solutions deliver the depth, speed and accuracy that enable insights to over 50,000 brokers, 1,000 banks and lenders, 1,000 law firms and 5,000 environmental consulting and engineering firms. We are hiring two experienced Account Executives to drive enterprise data licensing growth within capital markets and adjacent institutional segments. These individuals will own complex, high-value data transactions ($100K–$1M+), selling nationwide and regional data licenses into institutional investors, private equity firms, lenders, REITs, advisory firms, and financial services organizations. This role requires a seller who understands: Enterprise data licensing structures API and bulk data contracts Data governance and compliance considerations Integration into internal analytics platforms Multi-stakeholder capital markets decision cycles This is a strategic growth role within the Data & Analytics business segment. LightBox is evolving into the unified built environment intelligence platform anchored in persistent identity. Capital markets institutions require structured, normalized, connected intelligence embedded into internal systems. This role directly accelerates enterprise embedding, identity adoption, and long-term economic defensibility.

Requirements

  • 5+ years of enterprise data sales experience.
  • Proven success selling data licenses (not just SaaS subscriptions).
  • Experience structuring $100K–$1M+ agreements.
  • Strong familiarity with capital markets workflows (acquisitions, underwriting, risk modeling, portfolio management).
  • Comfort selling APIs, bulk data feeds, Snowflake sharing, and data integration use cases.
  • Experience navigating legal, procurement, and compliance processes.
  • Demonstrated ability to sell into technical and non-technical buyers.
  • Executive presence and strong negotiation capability.

Nice To Haves

  • Background selling property, financial, credit, risk, geospatial, or alternative datasets.
  • Experience with enterprise data integration or AI/analytics pipelines.
  • Relationships within PE, REITs, asset managers, investment banks, or credit funds.
  • Thinks in terms of enterprise architecture, not just features.
  • Understands switching costs and identity integration.
  • Can articulate data defensibility and integration complexity.
  • Is motivated by high-value, strategic, complex sales cycles.
  • Thrives in a platform-first, infrastructure-oriented organization.

Responsibilities

  • Drive new enterprise data bookings through direct sales into capital markets institutions.
  • Structure and negotiate complex data licensing agreements (national, regional, API, Snowflake, bulk feeds).
  • Engage with CIOs, Heads of Data, Portfolio Managers, Risk Teams, and Investment Committees.
  • Position LightBox as the identity backbone for institutional property and participant intelligence.
  • Navigate procurement, legal, and data governance review processes.
  • Collaborate cross-functionally with Product, Legal, Revenue Operations, and Customer Success.
  • Develop territory strategies and named account plans.
  • Identify upsell opportunities tied to ownership intelligence, transaction history, hazard overlays, infrastructure context, and derived insights.
  • Build multi-threaded relationships within large enterprise accounts.
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