OfficeSpace Software

OfficeSpace Software

Enterprise SDR

Hybrid, Atlanta GA

Sponsorship not specifiedDetected 14 days ago
Agentic AISalesAccount ManagementBusiness DevelopmentOutbound SalesCustomer SupportCadenceResearchLeadershipCommunication

About the role

  • As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term.
  • Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact.

Responsibilities

  • Build qualified pipeline through outbound prospecting across Mid-Market and Enterprise accounts.
  • Own and manage a targeted account patch, including a prioritized list of high-value ABX accounts.
  • Partner closely with Account Executives to accelerate pipeline progression and revenue generation.
  • Own a territory book of business and develop innovative prospecting strategies to increase market penetration.
  • Test, optimize, and scale messaging frameworks based on prospect feedback, engagement data, and AI-generated insights.

Requirements

  • Bachelor's degree or equivalent professional experience.
  • 6 months to 3 years of experience in sales, customer service, business development, marketing, or a related field.
  • Ability to learn quickly and apply new information in fast-moving environments.
  • Strong communication, storytelling, and persuasion skills.
  • Demonstrated competitiveness through athletics, academics, entrepreneurship, leadership activities, or professional achievement.
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Benefits

  • Analyze outreach performance, conversion metrics, and pipeline health to continuously improve results.

Company info

  • OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace.
  • You're a great fit for the role if you're entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter.

This listing is sourced directly from OfficeSpace Software's careers page and normalized into a canonical job model.