Account Executive

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • B2B

Dayforce is a cloud-based human capital management (HCM) platform offered by Ceridian that provides employers with integrated HR, payroll, benefits, workforce management (time and attendance), and talent management capabilities. It is designed as a single application to help organizations manage employee life-cycle processes, payroll and compliance, and workforce scheduling in a unified system.

📋 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. • 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.