Technical B2B SDR / AI Infrastructure Sales ExecutiveCompany: InstantGPU.ai

Role: Technical B2B SDR / AI Infrastructure Sales Executive

Experience: 2–5 years

Location: India / Remote

Employment Type: Full-time

Industry: AI / Cloud Computing / GPU Infrastructure / SaaS

About InstantGPU.aiInstantGPU.ai is building a next-generation GPU infrastructure platform designed to make AI compute more accessible, flexible and cost-effective for developers, startups and businesses.

Our platform supports workloads including:

- LLM inference and deployment
- Generative AI
- AI agents
- Model training and fine-tuning
- Computer vision
- Image and video generation
- Voice AI
- AI SaaS applications
- GPU-powered APIs and workloads

We are now launching InstantGPU.ai and are looking for an entrepreneurial Technical B2B SDR / AI Infrastructure Sales Executive to help us acquire our first customers and build a scalable B2B sales pipeline. About the RoleThis is not a traditional telecalling role.

You will identify companies using or planning to use GPU infrastructure, connect with founders, CTOs and engineering leaders, understand their AI infrastructure requirements, and demonstrate how InstantGPU can help them reduce costs, improve flexibility or simplify GPU deployment.

You will work directly with the founders and technical team during the initial growth phase.

Your primary objective:Find companies with genuine GPU/AI infrastructure requirements and convert them into InstantGPU trials and paying customers.

Key ResponsibilitiesLead Generation & Prospecting

- Identify and research potential customers in AI, GenAI, SaaS, ML and technology sectors.
- Build targeted prospect lists of startups, AI companies, development agencies and businesses using GPU infrastructure.
- Identify decision-makers including Founders, CTOs, VP Engineering, Head of AI/ML and Engineering Managers.
- Conduct personalized outreach through cold email, LinkedIn and phone calls.

Technical Sales
- Understand the prospect's current GPU/cloud infrastructure.
- Identify GPU requirements, workloads and pain points.
- Understand whether the requirement is for training, fine-tuning, inference, development or production.




- Explain InstantGPU's value proposition in simple business and technical language.
- Conduct initial product demonstrations.
- Coordinate with the technical team for deeper technical discussions.

GPU Cost & Infrastructure AnalysisHelp prospects evaluate:
- Current GPU provider
- GPU model and quantity
- Approximate utilization
- Monthly infrastructure expenditure
- Workload type
- Deployment requirements

Work with the team to demonstrate potential cost/performance advantages of moving workloads to InstantGPU. Sales Pipeline Management
- Maintain accurate CRM records.
- Track every prospect from initial contact through conversion.
- Schedule and conduct discovery meetings.
- Follow up with trials and qualified opportunities.
- Maintain a clear next action for every active prospect.
- Report weekly pipeline, activity and conversion metrics.

What We Are Looking ForMust Have
- 2–5 years of B2B technology sales / SDR / inside sales experience.
- Experience with outbound sales and prospecting.
- Strong communication and presentation skills.
- Comfortable speaking with founders, CTOs and technical teams.
- Experience with cold email, LinkedIn outreach and cold calling.
- Strong research and lead qualification skills.
- Ability to understand technical products and explain them to customers.
- Comfortable working in a startup workplace with evolving processes.

Technical UnderstandingYou don't need to be an AI engineer, but you should understand the basics of:
- Cloud computing
- AWS / Azure / Google Cloud
- GPUs and GPU memory/VRAM
- NVIDIA GPUs
- Docker / containers
- APIs
- AI/ML workloads
- LLM inference
- Model training and fine-tuning

Knowledge of RAG, AI agents, computer vision, image/video generation or serverless inference will be an advantage.



Preferred BackgroundCandidates with experience selling any of the following are particularly welcome:
- Cloud infrastructure
- SaaS
- Developer tools
- DevOps
- AI/ML platforms
- Cloud hosting
- APIs
- Cybersecurity
- IT infrastructure

Who Should Apply?You may be a great fit if you are someone who:
- Enjoys technology and wants to build a career in AI.
- Can comfortably talk to technical decision-makers.
- Enjoys outbound prospecting rather than waiting for leads.
- Is curious about how AI infrastructure works.
- Can research a company before contacting them.
- Is motivated by targets and revenue.
- Wants to join an early-stage AI company and have a direct impact on its growth.

This is not a suitable role for candidates whose experience is limited to high-volume B2C telecalling. Key Performance IndicatorsYour performance will be measured on the complete sales funnel, including:

- Qualified prospects generated
- Meaningful conversations
- Discovery meetings
- GPU cost audits
- Product trials
- Qualified opportunities
- New paying customers
- Recurring revenue generated
- Pipeline value
- Conversion rates

We care about quality opportunities and revenue, not simply the number of calls made. What You Will Get

- Opportunity to work at an early-stage AI infrastructure company.
- Direct interaction with founders and the technical team.
- Exposure to GPUs, LLMs, AI infrastructure and cloud technologies.
- Opportunity to build the company's initial B2B sales process.
- Performance-based incentives.
- Significant opportunity for growth as InstantGPU scales.

CompensationCompetitive fixed salary + performance-based incentives Compensation will be based on experience and demonstrated sales capability.

How to ApplyPlease apply with your latest resume and, if possible, briefly mention:

1. Your experience selling technical/B2B products.
2. The type of customers you have sold to.
3. Your experience with cold outreach.
4. Any experience selling cloud, SaaS, AI, DevOps or IT infrastructure.
5. Your most significant sales achievement.

Subject/Position: Technical B2B SDR / AI Infrastructure Sales Executive – InstantGPU.ai

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