Enterprise Customer Success Manager
Sigma Computing- Full Time
- Expert & Leadership (9+ years)
Candidates should have at least 5 years of experience in Customer Success, preferably in Enterprise SaaS. Familiarity with artificial intelligence technologies and the ability to articulate their value proposition is essential. Excellent verbal and written communication skills are required, along with strong analytical and problem-solving abilities. Demonstrated negotiation skills and a customer-centric mindset are necessary, as well as the ability to adapt in a fast-paced startup environment.
The Customer Success Specialist will drive customer engagement by developing deep relationships with enterprise customers and understanding their needs and business goals. They will manage the onboarding process, ensuring smooth deployment and integration while training customer teams on product usage. The specialist will identify upselling opportunities, manage renewals, and collaborate with the sales team for account expansions. Additionally, they will partner with technical support to resolve issues, track key metrics, and maintain customer records in the CRM system.
Develops enterprise AI solutions for workforce efficiency
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.