Sales Executive, CloudlyNet

Job Description

As Sales Executive for CloudlyNet, you will own the full sales cycle for CloudlyNet across telecom operators, ISPs, and enterprise network organizations. You will build relationships with RAN engineers, network operations leaders, and CTO-level buyers, and you will be able to hold a technically credible conversation about RAN optimization, digital twin simulation, and OPEX reduction without needing backup.Telecom is a sophisticated, relationship-driven industry. The best CloudlyNet deals will be won by someone who earns the respect of a network engineering team and then builds the business case that gets it to the CTO's desk.

ABOUT CLOUDLYNET
CloudlyNet is a RAN optimization platform that uses a Bayesian Digital Twin with real UE data to reduce energy waste, balance network load, improve mobility, and close coverage gaps for telecom operators and enterprise networks. Its rApps for Energy Saving, Load Balancing, Mobility Robustness Optimization, and Coverage and Capacity Optimization operate through automated SaaS workflows, with an AI Copilot that delivers actionable insights, recommended experiments, and full run history. The result is lower OPEX, more stable network performance, and faster optimization cycles.

Job Requirement

  • Prospect, qualify, and own the full sales cycle for CloudlyNet across telecom operators, ISPs, and large enterprise network organizations
  • Build relationships with RAN engineers, network operations teams, and technology leadership including CTOs and VP-level buyers
  • Lead technically credible discovery conversations that surface real OPEX pain, optimization challenges, and KPI accountability that CloudlyNet directly addresses
  • Work with Solution Engineers to scope and run pilot engagements that produce KPI and ROI reports compelling enough to drive commitment
  • Develop and present proposals and commercial agreements tailored to each prospect's procurement process and evaluation criteria
  • Maintain accurate, up-to-date pipeline data in the CRM and meet or exceed quarterly revenue targets
  • Represent CloudlyIO at telecom industry events, open RAN forums, and relevant trade shows
  • Relay market feedback, competitive intelligence, and buyer objections to product and marketing teams
YOU MAY BE A GOOD FIT IF YOU HAVE

  • 2 to 3 years of B2B sales experience in technology, SaaS, or telecommunications
  • Genuine familiarity with telecom network operations, RAN concepts, or network OPEX challenges: you understand why a telecom operator cares about energy savings and load balancing at a level beyond the slide deck
  • Proven track record of meeting or exceeding sales targets with examples of deals you owned end to end
  • Strong communication and presentation skills across both technical and executive audiences
  • Experience navigating multi-stakeholder enterprise sales cycles
  • Proficiency with CRM platforms such as HubSpot or Salesforce and disciplined pipeline management
  • A resilient, self-directed approach to sales: you build your own pipeline and you do not wait for leads to come to you

PREFERRED QUALIFICATIONS
  • Experience selling to telecom operators, ISPs, or network equipment vendors
  • Existing relationships within the telecom or enterprise network industry
  • Familiarity with open RAN ecosystems or the Linux Foundation Maveric project
  • Experience with cloud partner co-selling motions through AWS, Google Cloud, or similar
  • Bachelor's degree in Business, Telecommunications, Computer Science, or a related field

COMPENSATION & BENEFITS
  • Salary: Competitive base, negotiable based on experience
  • Performance-based commission structure: your earnings scale directly with your results
  • Two annual festive bonuses, each equivalent to half a month's salary
  • Two-day weekends, 10 days casual leave, 10 days sick leave, and 14 public holidays per CloudlyIO's global holiday calendar for Bangladesh
  • Fully subsidized lunch and evening snacks, plus tea and coffee throughout the day
  • Direct collaboration with US clients and teams, with real exposure to global enterprise AI deals from day one