Sales Area Lead, CloudlyMELT

Cloudly Inc; India; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary

Performance-based commission

Annual bonuses

Casual leave and public holidays

Subsidized meals and snacks

Job summary

Cloudly Inc is seeking a Sales Area Lead for CloudlyMELT, an AI-native observability platform. The role requires someone with 4 to 6 years of B2B sales experience and technical sales expertise in cloud or AI/ML products.

In this pivotal position, you will define the go-to-market strategy, build market presence, and manage revenue targets for CloudlyMELT while working closely with business development and product teams to achieve results.

Qualifications

• 4 to 6 years of B2B sales experience, especially in technical infrastructure.
• Proven track record in managing deals from start to finish.
• Familiarity with AI infrastructure and GPU utilization.

Responsibilities

• Define go-to-market strategy for CloudlyMELT.
• Personally prospect and close deals with AI engineering teams.
• Build market presence through outbound and inbound strategies.

Skills

B2B sales experience

Technical infrastructure sales

AI infrastructure concepts

Sales process development

CRM proficiency

Education

Bachelor's degree in Business, Computer Science, Engineering or related field

Tools

HubSpot

Salesforce

Job description

As Sales Area Lead for CloudlyMELT, you will own the entire commercial function for this solution vertical. This is not a pure individual contributor role and not a people management role either. It sits squarely in between: you will personally carry a revenue target, run your own deals, and at the same time set the direction, process, and playbook for how CloudlyMELT is sold in the market. You will be the resident expert on AI infrastructure observability, GPU economics, and the competitive landscape. You will define who we target, how we position, how we price, and how we win. Working closely with the Head of Business Development, product, and marketing, you will build CloudlyMELT's commercial presence from the ground up and scale it with discipline. This role is for someone who has sold complex technical products to engineering-led organizations, understands the AI infrastructure buying journey deeply, and is ready to take full ownership of a product area's revenue.

ABOUT CLOUDLYMELT

CloudlyMELT is an AI-native observability platform that correlates network, GPU, and application layers in a single unified view, reducing MTTR from hours to seconds. It addresses one of the most expensive and underappreciated problems in enterprise AI infrastructure: GPU underutilization averaging 15 to 25% in Kubernetes clusters, idle H100s burning over $500,000 per year, straggler bottlenecks slowing distributed training by up to 50%, and GPU-related incidents taking four or more hours to resolve with root cause unknown in 60% of cases. CloudlyMELT solves this with ML-powered predictive failure detection, LLM-driven root cause analysis in plain English, cross-layer cost attribution, multi-tenant fairness controls, and straggler detection built for distributed training workloads. It is built on open standards including OpenTelemetry, Prometheus, and DCGM, with no vendor lock-in. Unlike legacy monitoring platforms like Datadog or DIY Prometheus setups, CloudlyMELT is purpose-built for AI infrastructure with a GPU-first design that spans core infrastructure, network, and AI applications in one view.

Job Requirements

Commercial Ownership

• Own and be accountable for CloudlyMELT's revenue targets, pipeline health, and market penetration
• Define the go-to-market strategy for CloudlyMELT: target segments, ideal customer profiles, pricing approach, and competitive positioning
• Build and continuously refine the sales playbook for CloudlyMELT, including discovery frameworks, objection handling, and competitive differentiation
• Track and report on pipeline, forecast accuracy, and deal velocity to the Head of Business Development

Direct Sales Execution

• Personally prospect, qualify, and close CloudlyMELT deals across target segments including AI engineering teams, MLOps leaders, infrastructure architects, and CIOs at organizations running serious GPU workloads
• Lead complex, multi-stakeholder enterprise sales cycles involving technical evaluators, FinOps teams, and C-suite decision-makers
• Run technically credible product demonstrations and proof-of-concept engagements, working closely with product and engineering teams to tailor each evaluation
• Negotiate and close commercial agreements, managing pricing strategy in coordination with leadership

Market Development

• Build the pipeline for CloudlyMELT from the ground up through outbound prospecting, inbound follow-up, partner referrals, events, and community engagement
• Establish CloudlyMELT's presence in relevant AI infrastructure, MLOps, and GPU computing communities and events
• Work with marketing to develop CloudlyMELT-specific content, campaigns, and thought leadership that generate awareness and inbound demand
• Identify and develop partnership opportunities with cloud providers, GPU infrastructure vendors, and AI platform companies

Customer Success & Expansion

• Own post-sale relationships for key accounts, ensuring successful onboarding handoffs and identifying expansion and upsell opportunities
• Act as the primary voice of the CloudlyMELT customer internally, feeding market insights, buyer objections, and competitive intelligence back to product and leadership
• Build long-term relationships that position CloudlyIO as a trusted AI infrastructure partner, not just a monitoring vendor

Potential Fit

• 4 to 6 years of B2B sales experience, with at least 2 years selling technical infrastructure, observability, MLOps, cloud, or AI/ML products to engineering-led organizations
• A proven track record of owning deals end-to-end and consistently meeting or exceeding revenue targets
• Deep familiarity with AI infrastructure concepts including GPU utilization, Kubernetes, distributed training, and cloud cost management: you can hold a credible conversation with a senior ML engineer or FinOps lead without needing backup
• Experience building or significantly shaping a sales process or playbook for a new product or market, not just inheriting one
• Strong ability to navigate complex, multi-stakeholder technical sales cycles and translate infrastructure pain into business value for executive buyers
• Proficiency with CRM platforms such as HubSpot or Salesforce, and a disciplined approach to pipeline management and forecasting
• A self-directed, ownership-first mindset: you are comfortable with ambiguity, build structure where none exists, and drive results without waiting for direction

Preferred Qualifications

• Experience selling observability, monitoring, or AIOps platforms such as Datadog, Grafana, or similar
• Familiarity with the GPU compute market, AI infrastructure stack, or open standards such as OpenTelemetry, Prometheus, and DCGM
• Existing network within AI engineering, MLOps, or FinOps communities
• Experience working with or selling through cloud partner ecosystems such as AWS, Google Cloud, or NVIDIA
• Experience working with US-based clients or in an international sales environment
• Bachelor's degree in Business, Computer Science, Engineering, 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
• 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