PreSales & Solutioning Specialist – Quality Intelligence

Job description

We are looking for experienced Testing/QE professionals who have contributed to solutioning, estimations, proposals or client presentations and are interested in moving into a dedicated pre-sales and solutioning role. The position offers an opportunity to shape Quality Engineering, AI-led QE solutions for clients across industries. Key Responsibilities • Support RFPs, RFIs, RFQs, proactive pursuits, and proposal responses for Quality Engineering and Quality Intelligence opportunities. • Create solution narratives, executive summaries, value propositions, win themes, delivery models, assumptions, risks, and differentiators. • Develop effort estimations, staffing models, transition approaches, pricing inputs, and commercial assumptions. • Coordinate end-to-end pursuit responses across sales, delivery, SMEs, and leadership teams to ensure high-quality and timely submissions. • Support discovery workshops, client presentations, proposal defence sessions, and executive reviews. • Create reusable assets including proposal templates, playbooks, estimation models, case studies, capability decks, POVs, and marketing collateral. • Support the development and positioning of QA Automation, AI-led Quality Engineering, and AI Assurance solutions, including creation of accelerators, and client-centric value propositions. • Support creation of AI-led Quality Engineering solution narratives, business cases, and differentiators aligned to client transformation objectives. • Convert delivery success stories into reusable credentials, proof points, and market-facing content. • Support preparation of analyst, industry, and marketing collateral. What Makes You Stand Out • You can transform ambiguous client requirements into structured and compelling solutions. • You balance business value, commercial practicality, and delivery feasibility. • You collaborate effectively with sales, delivery, SMEs, and business leaders. • You continuously build reusable assets, accelerators, and best practices. • You can make Quality Intelligence and AI-led QE relevant, practical, and compelling for clients. Success Measures • Quality and timeliness of pursuit and proposal support. • Improved response turnaround and consistency across opportunities. • Reuse of accelerators, estimation models, and solution assets. • Positive stakeholder feedback from sales and delivery teams. • Contribution to stronger Quality Intelligence positioning and pursuit success.