Customer Solutions Manager
New
J
JobgetherConnectivity and Analytics
Remote work arrangement based in IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5–10 years
- Required Skills
- SQLTableauMicrosoft ExcelCustomer SuccessNetworkingData analytics
Requirements
- 5–10 years of experience in enterprise-level technology support, customer solutions, technical account management, or a closely related field.
- Demonstrated ability to build and maintain strong relationships across complex customer organizations and support senior stakeholders.
- Proven technical problem-solving abilities, with the adaptability and curiosity to learn new technologies quickly.
- Strong data analytics capabilities, including experience with SQL, Tableau, advanced Excel functions, or comparable analytical tools.
- Familiarity with internet, cellular, broadband, networking, and connectivity technologies and infrastructure.
- Working knowledge of RAN/RF technologies is required or strongly preferred.
- Experience visualizing and communicating large or complex datasets to demonstrate business value.
- Ability and willingness to travel regularly for customer meetings and professional or team events.
- Bachelor's degree or equivalent experience required.
Responsibilities
- Serve as the primary point of contact for a portfolio of high-value enterprise customers, building trusted relationships across business and technical teams.
- Educate customers on product capabilities and help them achieve optimal adoption and value from the available data and technology solutions.
- Own customer-facing technical and business issues, troubleshoot problems directly, and coordinate internal escalation and resolution when required.
- Engage effectively with directors and C-level stakeholders, translating complex technical topics into clear business implications and recommendations.
- Partner with sales teams to monitor account health, identify expansion opportunities, and support pre-sales activities.
- Leverage AI tools to improve reporting, analysis, communication, market research, benchmarking, root-cause investigation, and internal workflows.
- Collaborate with product, data, and engineering teams to explore and implement AI-driven use cases that increase customer value.
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