Presales Specialist - Delhi

Location

Reports To

Position Overview:

Pre-Sales Specialist

The role is a customer-facing technical position that will work closely with sales teams to understand client requirements, design tailored solutions and drive technical engagements. You will be responsible for presenting complex technology solutions to customers, creating compelling demonstrations, and assisting in the successful conversion of sales opportunities.

Key Responsibilities:

• Solution Design & Customization

  : Work closely with customers to understand their business challenges and technical requirements. Design and propose customized solutions leveraging Cloud, Network, AI, and Machine Learning technologies that best fit their needs.

• Sales Support & Enablement

  : Collaborate with the sales team to provide technical support during the sales process, including delivering presentations, conducting technical demonstrations, and assisting in the development of proposals and RFP responses.

• Customer Engagement

  : Engage with prospects and customers throughout the sales cycle, providing technical expertise and acting as the technical liaison between the customer and the company. Conduct deep-dive discussions and workshops to uncover technical requirements and offer viable solutions.

• Proof of Concept (PoC)

  : Lead the technical aspects of PoC engagements, demonstrating the capabilities and benefits of the proposed solutions. Collaborate with the customer to validate the solution, ensuring it aligns with their expectations.

• Product Demos & Presentations

  : Deliver compelling product demos and presentations tailored to the customer’s business and technical needs, helping organizations unlock innovation and growth through AI. Simplify complex technical concepts to ensure that both business and technical stakeholders understand the value proposition.

• Proposal Development & RFPs

  : Assist in crafting technical proposals, responding to RFPs (Request for Proposals), and providing technical content that highlights the company’s offerings, differentiators, and technical value.

• Technical Workshops & Trainings

  : Facilitate customer workshops and training sessions to enable customers to understand the architecture, functionality, and capabilities of the solutions offered.

• Collaboration with Product & Engineering Teams

  : Provide feedback to product management and engineering teams based on customer interactions and market demands. Help shape future product offerings and improvements.

• Market & Competitive Analysis

  : Stay up-to-date on industry trends, new technologies, and competitor offerings in AI and Machine Learning, Cloud and Networking, to provide strategic insights to sales and product teams.

• Documentation & Reporting

  : Create and maintain technical documentation, including solution designs, architecture diagrams, and deployment plans. Track and report on pre-sales activities, including customer interactions, pipeline status, and PoC results.

Key Skills and Qualifications:

• Experience

  : Minimum of 8-10 years of experience in a pre-sales or technical sales role, with a focus on

  AI, Cloud and Networking

  solutions.

• Technical Expertise

  :
• Solid understanding of Cloud computing, Data Center infrastructure, Networking (SDN, SD-WAN, VPNs), and emerging AI/ML technologies.
• Experience with architecture design and solutioning across these domains, especially in hybrid cloud and multi-cloud environments.
• Familiarity with tools such as Kubernetes, Docker, TensorFlow, Apache Hadoop, and machine learning frameworks.

• Sales Collaboration

  : Ability to work alongside sales teams, providing the technical expertise needed to close complex deals. Experience in delivering customer-focused presentations and demos.

• Presentation & Communication Skills

  : Exceptional ability to articulate technical solutions to both technical and non-technical stakeholders. Strong verbal and written communication skills.

• Customer-Focused Mindset

  : Excellent customer service skills with a consultative approach to solving customer problems. Ability to understand business challenges and align technical solutions accordingly. Having the mindset to build rapport with customers and become their trusted advisor.

• Problem-Solving & Creativity

  : Strong analytical and problem-solving skills, with the ability to design creative, practical solutions that align with customer needs.

• Certifications

  :
• Degree in Computer Science, Engineering, or a related field
• Cloud and AI / ML certifications are highly desirable

• Team Player

  : Ability to work collaboratively with cross-functional teams including product, engineering, and delivery teams.

Preferred Qualifications:

• Industry Experience

  : Experience in delivering solutions in industries such as finance, healthcare, or telecommunications is a plus.

• Technical Expertise in AI/ML

  : A deeper understanding of AI/ML applications, including natural language processing (NLP), computer vision, predictive analytics, or data science use cases.

• Experience with DevOps Tools

  : Familiarity with CI/CD pipelines, infrastructure as code (IaC), and automation tools like Terraform, Ansible, or Jenkins.