WEKA
Regional Sales Manager, East
U.S
Sponsorship not specifiedDetected 85 days ago
Agentic AISalesPipeline ManagementCommunicationCollaborationAdaptability
About the role
- Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world's leading hyperscalers, neoclouds, and AI innovators.
- Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success.
- If we sound like your kind of people, join us!
Responsibilities
- Work with strategic and VAR partners to cultivate and manage joint selling opportunities
- Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
Requirements
- 5+ years of IT Sales experience
- Proven track record of effective selling in the West
- Ability to travel as needed for client meetings and industry events.
Compensation
- This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Benefits
- Accelerate customer adoption through education and engagement
Company info
- We question the status quo, push boundaries, and take smart risks when needed.
- We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
- True collaboration isn't only about working together.
- It's about lifting one another up to succeed collectively.
- We are team-oriented and communicate with empathy and respect.
- We challenge each other and conduct positive conflict resolution.
- We are being transparent about our goals and results.
- And together, we're unstoppable.
- Demonstrate a deep understanding of WEKA and the value to our customers
- Develop and execute against a strategic plan to create sales pipeline while acquiring new logos and maintaining positive ongoing relationships with customers
This listing is sourced directly from WEKA's careers page and normalized into a canonical job model.