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Account Executive at Partner One Capital. About SafeGraph. SafeGraph is a Data as a Service (DaaS) company with one focus: curating the most accurate, precise, and fresh points of interest (POI) database on the planet. We provide product builders, data scientists, and analytics teams with the location data they need to power site selection, transaction enrichment, advertising audiences, competitive intelligence, and more.. Our customers include companies like Plaid, Mapbox, Clear Channel — spanning fintech, retail, real estate, adtech, logistics, and government. We’re fully remote, lean by design, and serious about data quality.. The Role. We’re looking for an Account Executive to own the full sales cycle, selling SafeGraph’s Places data and related data products to product, data, and analytics leaders across our core verticals.. This is a high-ownership role at a small company that pushes the pace. You’ll have a direct line to leadership, real input on how we go to market, and the satisfaction of knowing every deal you close matters.. What You’ll Do. • Own a defined territory or vertical, running full-cycle deals from first contact through signed contract. • Build and maintain a healthy pipeline through outbound prospecting and inbound lead follow-up. • Run consultative discovery to understand how prospects use (or could use) POI and geospatial data, then connect SafeGraph’s products to their specific use case. • Build deep expertise in SafeGraph’s core verticals: real estate, fintech, adtech, logistics, and government. • Actively use AI tools to research accounts, personalize outreach, prepare for calls, and move faster across the full sales cycle. • Maintain an accurate pipeline in CRM and provide reliable forecasting to leadership. • Share field insights with product to inform messaging, positioning, and roadmap priorities. What We’re Looking For. Required. • 3–6 years of B2B SaaS or data sales experience with a track record of hitting or exceeding quota. • Experience selling data products, APIs, or developer/data-team-facing tools — the buyer is often technical. • Comfort navigating multi-stakeholder deals across data engineers, data scientists, product managers, and executives. • Strong written and verbal communication. You can explain what a Places dataset is a technical buyer and why it matters to their business. • AI fluency — you actively incorporate AI tools into your daily sales workflow and can speak concretely to how they’ve made you more effective. • Self-starter mentality with a bias for action; you don’t wait to be told what to do. • Experience thriving in a remote, async-first environment. Nice to Have. • Background in location intelligence, geospatial data, or adjacent data categories (foot traffic, transaction enrichment, demographic data). • Existing relationships in fintech, retail tech, real estate tech, or adtech. • Experience selling at a company with fewer than 50 employees. Company Location: United States.