Head of Presales

Neysa Networks; Maharashtra; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Neysa Networks in Mumbai is seeking a Head of Presales to build the presales team and lead the technical sales discipline. You will work with engineers on solution design and with executives on the business case to deploy AI at scale.

You will oversee discovery and architecture discussions, ensuring proposals meet performance, data protection and cost targets, while guiding successful handovers to Delivery.

Qualifications

• At least 12 years in enterprise technology with 5+ years in people leadership.
• Experience leading presales, solution architecture and deal shaping.
• Ability to translate technical decisions into business value for senior stakeholders.

Responsibilities

• Lead presales from opportunity qualification through technical validation and handover to Delivery.
• Develop and coach a presales team capable of independent discovery and architecture discussions.
• Partner with Sales, Product, Engineering and Delivery to align proposed solutions and commitments.
• Build reusable reference architectures, evaluation methods, demonstrations and assets.
• Balance customer requirements with platform capabilities and commercial value.

Skills

Leadership

Presales

Cloud Architecture

Enterprise Technology

Executive Communication

Architecture Validation

Tools

Kubernetes

Model Serving

GPU Infrastructure

Job description

Head of PresalesBuild the team customers trust with their AI.Location: MumbaiDepartment: Sales Employment type: Full timeThe opportunityA successful AI demo is not the same as a successful AI deployment.Production brings harder questions: can the application handle peak demand, protect data and maintain performance as usage grows, and will the economics still work?At Neysa, we are looking for a Head of Presales to turn those questions into clear customer decisions and sound solution architectures. You will build the presales team and technical sales discipline, working with engineers on solution design and executives on the business case.

Why Neysa?

Neysa builds the infrastructure and platform for AI in production. We bring together GPU compute, the software to build and operate AI, and engineering support to help customers run it with greater control and predictable economics.Our customers include enterprises building AI for their businesses and AI-native companies building products for others.Their workloads, constraints and ambitions differ. Our job is to understand those differences and engineer the right answer.For you, that means an opportunity to work beyond a fixed product catalogue. You will work with Sales, Product, Engineering and Delivery to determine what we should propose, what we need to prove and what we can responsibly commit to.

Your mandate

Lead presales from opportunity qualification through technical validation and a documented handover to Delivery.Stay directly involved in strategic customer opportunities while developing a team that can lead discovery and architecture discussions independently. Partner with Sales, Product, Engineering and Delivery to align proposed solutions, customer commitments and implementation requirements.

What you will own?

• Earn the technical win
• Lead discovery with business owners, technology leaders, architects and AI teams to understand workloads before proposing an architecture.
• Build a clear case for Neysa against the customer’s alternatives, including retaining their current solution.
• Translate performance, reliability, security and cost requirements into a credible solution.
• Determine when Neysa is the right fit, when a partner is needed and when not to pursue an opportunity.

Turn expertise into repeatable advantage

• Develop reusable reference architectures, evaluation methods, demonstrations and proposal assets.
• Equip Sales to lead early conversations and involve specialists at the right time.
• Work with partners that add capability, customer access or delivery strength.
• Give Product and Engineering structured evidence of recurring needs, lost opportunities and emerging workload patterns.
• Give Marketing defensible technical evidence for customer stories, comparisons and positioning.

Protect customer trust

• Validate technical commitments with Engineering and Delivery before they are made to customers.
• Resolve disagreements using evidence, alternatives and clear ownership.
• Balance customer requirements with platform fit, delivery effort and commercial value.

What success looks like?

• A consistent presales engagement and qualification process.
• Evaluations that resolve material uncertainties and support buying decisions.
• Improved conversion from technical validation to contracted production workloads.
• Timely, complete handovers to Delivery.
• Reusable solutions that reduce avoidable effort.

What you will bring?

• At least 12 years of experience in enterprise technology, including at least five years of direct people leadership.
• Responsibility for hiring, coaching, performance management and developing technical leaders.
• A track record of helping win complex enterprise opportunities and supporting their transition to deployment.
• Strong foundations in cloud architecture, networking, security, containers and production operations.
• Working knowledge of AI workloads and GPU infrastructure, including the factors affecting model deployment, performance and cost.
• Experience defining evaluation criteria, reviewing architectures and identifying production risks.
• The ability to connect technical recommendations to business value and communicate credibly with senior executives and engineers.

Preferred experience

• Experience with inference, fine-tuning, model serving, Kubernetes, hybrid deployments or AI platforms.
• Relevant certifications that complement practical experience.

How we work

• Ask why and challenge assumptions, even when something appears to be working.
• Take ownership and collaborate across functions.
• Build for future scale, not only the next deal.
• Continuously improve and challenge solutions that do not serve the customer.

Why make the move?

This is an opportunity to shape a specialist AI cloud’s presales function and influence how customer needs inform product decisions.If you want to combine hands-on technical leadership with building a presales organisation, we would like to hear from you.