Head of Presales

Location: Mumbai

Department: Sales 

Employment type: Full time

A 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.

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.

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.

This is a leadership role for someone who still enjoys the whiteboard.

·       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.

·       Prioritise opportunities for presales support and evaluation capacity.

·       Define proofs of concept (PoCs) with agreed success criteria, customer responsibilities, resource limits and a timeline for the buying decision.

·       Test production-relevant conditions and document costs, assumptions and limitations.

·       Agree a handover with Delivery covering the validated architecture, scope, evaluation results, acceptance criteria, dependencies, unresolved risks and ownership of next steps.

·       Hire and develop solution architects and presales specialists.

·       Set clear expectations for technical judgement, discovery, communication and ownership.

·       Coach the team through customer engagements and build specialist depth without creating silos.

·       Create a learning culture where people acknowledge uncertainty, investigate it and share what they learn.

·       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.

·       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.

Success means better customer and business outcomes, not simply more demonstrations.

You will help establish:

·       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.

You will define the baselines and improvement targets with the leadership team.

You have led enterprise presales, solution consulting or solution architecture teams through complex customer decisions.

·       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.

You do not need to be the deepest specialist in every layer. You do need to know which questions matter, recognise weak assumptions and bring the right expertise into the room.

·       Experience with inference, fine-tuning, model serving, Kubernetes, hybrid deployments or AI platforms.

·       Relevant certifications that complement practical experience.

We value people who:

·       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.

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.