Customer Solutions Manager

Accountabilities

• • Serve as the primary point of contact for a portfolio of high-value enterprise customers, building trusted relationships across business and technical teams.
  • Develop and strengthen customer relationships through proactive engagement, strategic guidance, training, and ongoing support.
  • 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.
  • Represent the voice of the customer internally, advocating for customer requirements and influencing product and service improvements.
  • Participate in customer meetings, including remote and onsite engagements, and maintain a high standard of communication and follow-through.
  • Apply strategic thinking to business, product, and technical challenges, helping customers turn connectivity data into actionable insights.
  • Leverage AI tools to improve reporting, analysis, communication, market research, benchmarking, root-cause investigation, and internal workflows.
  • Identify opportunities to automate repetitive customer-success, analytical, and operational processes and support the development of AI-assisted dashboards, summaries, and executive outputs.
  • Collaborate with product, data, and engineering teams to explore and implement AI-driven use cases that increase customer value.
  • Continuously expand technical knowledge and stay current with emerging technologies relevant to customers and the connectivity ecosystem.

  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.
  • Strong customer orientation, ownership mindset, urgency, and consistent follow-through.
  • Proven technical problem-solving abilities, with the adaptability and curiosity to learn new technologies quickly.
  • Experience supporting emerging products, services, or technologies as they enter new markets is strongly preferred.
  • Strong data analytics capabilities, including experience with SQL, Tableau, advanced Excel functions, or comparable analytical tools.
  • Experience visualizing and communicating large or complex datasets to demonstrate business value, product quality, or performance.
  • Knowledge of data modeling, AI, and machine learning is desirable.
  • Familiarity with internet, cellular, broadband, networking, and connectivity technologies and infrastructure.
  • Working knowledge of RAN/RF technologies is required or strongly preferred.
  • Strong written and verbal communication skills, with the ability to communicate effectively with both technical and non-technical audiences at all organizational levels.
  • Experience with technology-based data or analytics products, including licensing or subscription models, is advantageous.
  • Ability and willingness to travel regularly for customer meetings and professional or team events.
  • Strategic mindset with the ability to understand the broader business context while managing detailed technical challenges.
  • Experience supporting international customers or working in a global business environment is a plus.
  • Technical program or project management experience is advantageous.
  • Bachelor's degree or equivalent experience required; a master's degree or international business education is a plus.

  Benefits

  • Remote work arrangement based in India, with flexibility to support a global customer base.
  • Opportunity to work with enterprise customers and senior decision-makers on complex technology and connectivity challenges.
  • Exposure to telecom, RF, data analytics, AI/ML, networking, and emerging technology use cases.
  • Collaborative environment spanning customer success, sales, product, data, and engineering teams.
  • Opportunities to use AI and automation to improve customer outcomes and operational efficiency.
  • Continuous learning and opportunities to expand technical, analytical, and strategic expertise.
  • Potential for regular customer and industry travel, providing global exposure.
  • Competitive compensation, with the final package determined based on experience, skills, education, geographic location, and business considerations.