Presales Consultant

Job Title: PreSales Consultant

Location:

Department:

About Super AI

enterprise and education products

Role Overview

Pre-Sales Consultant

Key Responsibilities

• Client Engagement & Discovery

• Partner with the sales team to understand customer needs, pain points, and business objectives.

• Conduct requirement analysis workshops and map client challenges to Super AI solutions.

• Solution Design & Demonstration

• Create tailored solution presentations, product demos, and proof-of-concepts (PoCs).

• Collaborate with product and engineering teams to design custom solutions for enterprise and education customers.

• Technical & Functional Expertise

• Stay up to date with product capabilities, industry trends, and AI-driven use cases in education and enterprise sectors.

• Prepare technical documentation, RFP/RFI responses, and solution proposals.

• Collaboration & Enablement

• Work closely with sales, product, and delivery teams to ensure seamless handover from pre-sales to implementation.

• Provide thought leadership during client meetings, conferences, and webinars.

• Market & Competitive Intelligence

• Analyze competitors and market trends to position Super AI solutions effectively.

• Gather customer feedback to influence product roadmap and innovation.

Desired Skills & Exp

• Bachelor’s or Master’s degree in Business, Computer Science, Engineering, or related field.
• 3–5 years of pre-sales / solution consulting experience, preferably in

  AI, SaaS, enterprise software, or EdTech

  .
• Strong understanding of

  AI, machine learning, cloud platforms, and enterprise applications

  .
• Excellent communication, presentation, and storytelling skills.
• Ability to translate technical features into clear business value propositions.
• Experience with RFP/RFI responses, solution design, and stakeholder management.
• Strong problem-solving and consultative selling skills.

What We Offer

• Opportunity to work at the intersection of

  AI innovation, enterprise transformation, and education impact

  .
• Collaborative and growth-driven work culture.
• Competitive compensation and performance-based incentives.
• Learning & development opportunities in cutting-edge AI technologies.