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Location
Remote (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Customer Solutions Manager based in India.

This role sits at the intersection of enterprise customer success, technical problem-solving, and connectivity intelligence.

You will serve as a trusted advisor to strategic customers, helping them maximize the value of sophisticated data and technology solutions.

The position combines relationship management with hands-on analysis across telecom, RF, networking, and machine learning domains.

You will work closely with senior customer stakeholders, including directors and C-level executives, to understand business priorities and deliver actionable insights.

You will also collaborate with sales, product, data, and engineering teams to resolve complex challenges and identify opportunities for growth.

AI-enabled tools will be used to accelerate reporting, analysis, automation, and executive-ready customer insights.

This is an opportunity to make a measurable impact in a fast-moving, global environment where curiosity, ownership, and continuous learning are highly valued.

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.
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