Account Executive (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Account Executive (SaaS): Owning the full sales cycle for POI and geospatial data products with an accent on consultative discovery and technical buyer engagement. Focus on building a healthy pipeline through outbound prospecting and leveraging AI tools to optimize sales workflows.
Location: Remote (United States)
Salary: $110,000–$130,000 base + commission
Company
is a Data as a Service (DaaS) company specializing in high-accuracy points of interest (POI) databases for product and analytics teams.
What you will do
- Manage full-cycle deals from initial contact to contract signature within defined territories.
- Drive pipeline growth through outbound prospecting and inbound lead management.
- Conduct consultative discovery to align geospatial data products with client use cases.
- Develop deep expertise in core verticals including real estate, fintech, adtech, logistics, and retail.
- Utilize AI tools to research accounts and personalize outreach.
- Provide accurate CRM forecasting and collaborate with the product team on market insights.
Requirements
- 3–6 years of B2B SaaS or data sales experience with a proven track record of hitting quotas.
- Experience selling data products, APIs, or tools targeting technical buyers such as data engineers and scientists.
- Ability to navigate multi-stakeholder deals involving technical and executive leadership.
- Strong written and verbal communication skills for explaining technical datasets.
- AI fluency: active integration of AI tools into daily sales workflows.
- Experience working in remote, async-first environments.
Nice to have
- Background in location intelligence or geospatial data.
- Existing relationships in fintech, retail tech, real estate tech, or adtech.
- Experience working in small companies with fewer than 50 employees.
Culture & Benefits
- Competitive base salary and a strong commission plan.
- High level of ownership and direct access to company leadership.
- AI-forward culture encouraging experimentation with new tools to work smarter.
- Opportunity to sell a category-leading product known for superior data quality.
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