Account Executive, Data & Analytics

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🔥 2 hours ago

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Logo of LightBox

LightBox

501 - 1000 employees

Founded 2019

🏠 Real Estate

☁️ SaaS

🤝 B2B

Real Estate • SaaS • B2B

LightBox is a provider of connected property data, location intelligence, and workflow software for commercial real estate professionals. The company aggregates authoritative parcel, ownership, zoning, transaction, building footprint, geocoding, environmental and valuation datasets and exposes them through products such as LightBox Vision (formerly LandVision), APIs, bulk data delivery, valuation and marketing tools, and professional services. LightBox positions itself as a B2B SaaS platform that helps customers locate, analyze, and act on commercial real estate information for use cases including capital markets, environmental due diligence, lending, valuation, and government/utility workflows.

📋 Description

• 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.

🎯 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. • Preferred Experience: • 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.

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