Vantor is unleashing a more autonomous, interoperable world. Forging the new frontier of spatial intelligence, we empower decision makers and operators with the clarity they need to navigate what’s happening now and shape what’s coming next. Our AI-powered spatial intelligence platform fuses data from the world’s highest-resolution satellites with real-time sensor feeds from space, air, and ground to create the most accurate living digital replica of Earth. Vantor is headquartered in Westminster, Colorado.

Vantor is seeking Sr. Account Executive’s for our Enterprise team to bring satellite imagery and derived spatial solutions to market. In this role, you will focus on selling high-value "alternative data" solutions within Finance & Insurance, Construction & Agriculture, Energy, or AI Tech.

As part of a fast-paced, high-growth environment, you will collaborate with internal and external C-suite leaders, clients, and customer prospects. This position requires strong leadership and communication skills, sophisticated business acumen, and the ability to grow new and existing opportunities. With these skills, you will establish Vantor’s position as a premier provider of geospatial intelligence to hedge funds, asset management firms, and Property & Casualty (P&C) insurance carriers.

This role will be a 50/50 split of new and existing business and is eligible to work remotely in the US.

What You’ll Be Doing:

• Identify and acquire new enterprise customers by developing and executing strategic sales plans, driving prospecting efforts, and leading negotiations to close high-value data or software subscription deals.
• Manage and grow existing accounts by building strong relationships with technical users, business leaders, and operational stakeholders across target industries.
• Partner closely with internal and external C-suite executives and senior decision-makers to position Vantor’s geospatial and analytics solutions as essential tools for solving high-impact business problems.
• Demonstrate how satellite imagery, spatial analytics, and AI-driven insights can unlock value across diverse use cases such as monitoring assets and infrastructure, improving operational efficiency, anticipating risk, or enabling data-driven decision-making.
• Clearly articulate the technical and business value of geospatial intelligence to audiences ranging from data scientists and engineers to business strategists and executives.
• Analyze market trends to identify new growth opportunities and develop business strategies tailored to the needs of each target vertical.
• Prepare and deliver compelling proposals, presentations, and solution recommendations aligned with customer goals—whether optimizing operations, improving risk modeling, enhancing forecasting, or enabling better situational awareness.
• Track pipeline, performance metrics, and forecasts using CRM tools; adjust strategies based on data, customer feedback, and sales performance insights.

Minimum Requirements:

• Bachelor’s degree required; Master’s degree preferred (field of study flexible).
• 5+ years of experience in B2B sales, preferably selling complex technical, data, software, or geospatial solutions.
• Proven success selling into enterprise or strategic accounts in one or more industries such as financial services, insurance, agriculture, construction, energy, technology, or other data-driven markets.
• Ability to understand and communicate the value of spatial, imaging, or analytical data products and how they solve real business problems across various verticals.
• Experience developing new business, driving full-cycle sales, and closing high-value or subscription-based deals.
• Strong relationship-building and executive communication skills; able to present to and influence stakeholders at all organizational levels, including C-suite.
• Demonstrated ability to manage a pipeline, forecast accurately, and operate within a metrics-driven sales environment.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Business, Technology, Geospatial, Environmental Science, Engineering, or a related field (flexible).
• 10+ years of experience in enterprise sales with a consistent record of exceeding quota.
• Experience selling data platforms, AI/ML solutions, SaaS, remote sensing, GIS, or other advanced analytics products into enterprise accounts.
• Track record closing large, multi-year, or multi-million-dollar opportunities.
• Familiarity with Salesforce, MEDDPICC, or other enterprise sales methodologies.
• Background working with customers who rely on data-driven decision-making, such as evaluating risk, forecasting demand, optimizing operations, or improving model performance.
• Ability to translate complex technical capabilities—such as imagery, geospatial analytics, or AI-powered insights—into clear value propositions for diverse markets.