Presales Consultant
Shape client opportunities by translating business needs into compelling technology solutions across Data and AI, Cloud, Digital, and Enterprise Applications.
Location: Hyderabad, India
Experience: 8 to10 years
Employment Type: Full Time
Work Model: Work from Office, 5 days a week
Role Overview
We are looking for an experienced Presales Consultant to connect our Sales, Delivery, Practice, and Client teams. You will understand client priorities, position Covalense Global’s capabilities, and support the complete presales lifecycle, from opportunity qualification and discovery through solution development, proposals, presentations, and handover.
You will help clients understand how cloud, data, AI, intelligent automation, digital engineering, and enterprise applications can address their business challenges. This role requires strong IT services knowledge, commercial awareness, compelling communication, and confidence engaging with CXOs and technology leaders.
Key Responsibilities
- Support the end-to-end presales lifecycle, including opportunity qualification, discovery, solution positioning, proposal development, presentations, and handover.
- Understand client objectives, pain points, technology landscapes, and industry context to identify relevant solution opportunities.
- Position Covalense Global’s capabilities across Data and AI, Cloud, Digital, and Enterprise Applications.
- Lead or coordinate RFI and RFP responses, ensuring accuracy, consistency, differentiation, and timely submission.
- Prepare executive presentations, capability showcases, solution briefs, case studies, proposals, and other client-facing content.
- Collaborate with sales leaders, solution architects, delivery teams, practice heads, and subject-matter experts to develop practical client-specific solutions.
- Develop effort estimates, delivery approaches, assumptions, dependencies, risks, and commercial inputs in collaboration with relevant teams.
- Define clear value propositions and measurable business outcomes for proposed solutions, including AI-enabled offerings.
- Support competitive analysis, solution differentiation, deal reviews, demonstrations, and solution-defence sessions.
- Identify appropriate AI and intelligent-automation use cases based on business value, data readiness, feasibility, security, governance, and responsible AI considerations.
- Articulate the value and limitations of AI-enabled solutions without overstating capabilities, outcomes, or implementation readiness.
- Use approved AI-assisted tools responsibly for research, solution ideation, proposal development, content personalisation, and quality reviews.
- Maintain reusable presales assets, including proposal templates, capability decks, solution briefs, case studies, and client success stories.
- Ensure a structured handover to delivery teams, covering agreed scope, solution design, assumptions, dependencies, risks, and client commitments.
Required Qualifications
- 8 to 10 years of experience in presales, solution consulting, or business-development support within an IT services or consulting organisation.
- Strong understanding of IT services across Data and AI, Cloud, Digital Engineering, and Enterprise Applications.
- Experience with opportunity qualification, solution discovery, proposal development, RFI and RFP responses, presentations, and client-facing content.
- Ability to translate business requirements and technical concepts into clear solution narratives, value propositions, and business outcomes.
- Good understanding of AI, generative AI, intelligent automation, cloud, data platforms, and enterprise technology trends.
- Familiarity with solution estimation, delivery models, commercial inputs, assumptions, dependencies, and risk management.
- Excellent communication, presentation, storytelling, stakeholder-management, and proposal-writing skills.
- Confidence engaging with CXOs, business leaders, technology decision-makers, architects, and delivery teams.
- Strong analytical thinking, collaboration, organisation, attention to detail, and ownership.
- Bachelor’s or master’s degree in Engineering, Computer Science, Business, or a related field.
Preferred Qualifications
- Presales experience across BFSI, Healthcare, Retail, Manufacturing, or Telecom.
- Experience developing proposals for AI, cloud, data, digital-transformation, or enterprise-application services.
- Experience supporting discovery workshops, demonstrations, proofs of concept, solution-defence sessions, or account-growth initiatives.
- Understanding of responsible AI principles, including privacy, security, governance, transparency, and human oversight.
- Familiarity with CRM, proposal-management, presentation, research, and approved AI productivity tools.
