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Account Executive – Data-as-a-Service (DaaS) & Geospatial Data image - Rise Careers
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Account Executive – Data-as-a-Service (DaaS) & Geospatial Data

Account Executive – Data-as-a-Service (DaaS) & Geospatial Data


Location: Remote (U.S. Only)

Company: dataplor


About Us:

Our mission at dataplor is to comprehensively map and understand every commercial location on the planet.  We provide insights on every merchant in the world, covering 350M+ businesses and places, empowering organizations with high-quality location intelligence to drive strategic decision-making.  After more than doubling our revenue last year, we closed a Series B round of funding led by F-Prime.  We are excited to grow the team and take this rocketship to the next level!


Role Overview:


We are seeking a dynamic Account Executive to drive revenue growth by identifying, developing, and closing new business opportunities. This role requires expertise in selling DaaS solutions, geospatial data products, or enterprise data platforms. You will work closely with prospects, customers, and internal teams to deliver data-driven solutions that solve complex business challenges.


Key Responsibilities:


New Business Development: Identify and engage potential clients across key industries, developing tailored solutions that leverage dataplor’s geospatial data offerings.


Sales Execution: Own the entire sales cycle from prospecting to contract negotiation and closure, ensuring alignment with company revenue targets.


Account Management: Develop and nurture strong relationships with key stakeholders, understanding their business needs and expanding accounts.


Market Insights & Strategy: Stay up to date on trends in geospatial data, location intelligence, and DaaS, providing strategic insights to refine our sales approach.


Collaboration: Work cross-functionally with marketing, product, and data teams to align sales strategies with company capabilities and customer needs.


Pipeline & Forecasting: Maintain accurate CRM records, track progress against sales goals, and provide regular forecasts to leadership.


Required Qualifications


3+ years of enterprise sales experience in Data-as-a-Service (DaaS), geospatial data, location intelligence, or a related field.


Proven track record of exceeding sales targets and closing high-value deals.


Strong consultative sales skills, with the ability to translate data capabilities into business impact for customers.


Experience selling to industries such as financial services, retail, logistics, or technology.


Ability to manage long sales cycles and work with multiple stakeholders across large organizations.


Excellent communication, negotiation, and presentation skills.


Self-motivated, data-driven, and highly organized, with strong problem-solving abilities.


Preferred Qualifications:


Extensive experience selling location data, point of interest data, or mobility data


Benefits:

Competitive salary and benefits package

Comprehensive health, dental, and vision insurance

Unlimited PTO and paid holidays

Monthly Uber Eats Credit

Industrious or similar co-working membership

Semi annual team retreats and ad hoc meetups

A collaborative and supportive work environment


Average salary estimate

$85000 / YEARLY (est.)
min
max
$70000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Based in Manhattan Beach, CA, dataPlor is a small business database for Latin America and Southeast Asia. The company offers POI data collection and validation solving for inaccuracies in emerging economies. dataPlor's services include, A.I. and h...

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Full-time, remote
DATE POSTED
April 21, 2025

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