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PartnerOne

Account Executive

Posted 11 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
110K-130K Annually
Mid level
Remote
Hiring Remotely in United States
110K-130K Annually
Mid level
Full-cycle Account Executive selling SafeGraph's Places and related geospatial data products to product, data, and analytics leaders. Manage territory/vertical, build pipeline via outbound and inbound, run consultative discovery with technical buyers, use AI tools for outreach and research, maintain CRM pipeline and forecasts, and share field insights with product.
The summary above was generated by AI

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.

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 retail

• 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


Requirements

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


Benefits

Competitive Salary, 110k-130k base, depending on experience, and a great commission plan.

• Real ownership. You’re not a number. You’ll have direct access to leadership and genuine influence on how we sell.

• AI-forward culture. We expect everyone on the team (not just engineers) to experiment with AI tools and find new ways to work smarter. You’ll fit right in.

• Category leader. Customers routinely choose SafeGraph over competitors on data quality alone; you’ll be selling something worth selling.

SafeGraph is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive team.

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