RingLogix
Sales Development Representative
Remote (United States) · Full-time
Sponsorship not specifiedDetected 19 days ago
Agentic AIHubSpotCRMSalesBusiness DevelopmentPipeline ManagementOutbound SalesCommunicationCollaborationOrganizational Skills
About the role
- About RingLogix RingLogix is a high-growth telecom platform company building the most advanced voice AI solutions for managed service providers and their customers. We operate our own carrier-grade telephony infrastructure and are bringing intelligent voice AI agents to market through our innovative platform. If you want to be part of a company where AI
- isn't a buzzword but the product — and where your work directly drives revenue — this is the place.
Responsibilities
- Own inbound response and qualification.
- You'll qualify for fit and intent, book meetings for sales, and keep our speed-to-lead sharp.
- Support marketing programs.
- Webinars, events, and campaigns generate leads that need fast, consistent follow-up.
- You'll coordinate with marketing and sales on priorities, enroll contacts in sequences, and make sure no lead goes cold.
- We're building something new, moving fast, and looking for people who want to grow with us.
Nice to have
- This isn't an "auto-dial and hope" role.
- That means sharp qualifying conversations, thoughtful outreach, and real collaboration with our sales and marketing teams to turn interest into opportunity.
- You'll report to the VP of Operations and work closely with both marketing and sales.
- When prospects raise their hand - through our site, events, or campaigns - you're the first voice they hear.
- Run disciplined outbound prospecting.
- You'll prospect into targeted MSP accounts using curated lists, HubSpot sequences, phone, LinkedIn, and event follow-up.
- You'll personalize where it matters and focus on getting in front of the right decision-makers.
- Keep the CRM clean and the process tight.
Equal opportunity
- RingLogix is an equal opportunity employer.
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This listing is sourced directly from RingLogix's careers page and normalized into a canonical job model.