Walk-in || Pre sales

Role Summary:

We are seeking a technically sharp, hands-on Senior Technical Presales Specialist to play a pivotal
role in shaping and closing enterprise technology engagements. Working directly with our
Technical Leadership, Architects, and Commercial Teams, you will lead the creation of high-
impact technical proposals, RFPs, RFIs, and Statements of Work (SoWs) across our Data, AI, and
Modernisation practices.

Key Responsibilities:

Technical Solutioning & Discovery: Partner directly with Solutions Architects and
practice leads to understand client briefs, evaluate requirements, and help design
scalable, practical technical solutions.
Proposal & SoW Authoring: Own the end-to-end authoring of comprehensive
proposals, RFP/RFI responses, and binding SoWs. Translate complex system architectures
and data engineering concepts into clear, value-focused technical narratives.
Scoping & Estimation Support: Collaborate with engineering and delivery leads to build
Work Breakdown Structures (WBS), estimate technical effort, and map out realistic project
delivery milestones.
Pre-Sales Asset Engineering: Develop, refine, and maintain high-quality solution
accelerators, architecture blueprints, case studies, and technical boilerplate content to
streamline the presales lifecycle.
Market & Tech Alignment: Keep pace with evolving trends across enterprise data
platforms, applied AI/LLM workflows, and cloud migrations to continuously elevate our
technical pitches.

Candidate Requirements:

3 to 5 years of hands-on experience in technical presales, bid solutioning, or solution
consulting within IT services or software engineering.
Foundational understanding of enterprise data architectures (warehouses, pipelines,
ETL/ELT), modern AI/ML applications, and cloud platforms (Azure/AWS).
Proven track record of independently authoring technical proposals, RFPs, and formal
SoWs.
Strong ability to build Work Breakdown Structures and align with delivery teams on effort
estimation.
Exceptional written and verbal communication skills with the ability to articulate complex
technical trade-offs clearly.
Bachelors degree in Computer Science, Information Technology, Engineering, or
demonstrable equivalent experience.