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Medium: mid-senior pre-sales role with broad QA and AI-led skill requirements increases applicant density.
Medium: pre-sales and QA automation skills are transferable, but required industry domain knowledge raises specialization.
High: explicit 6–10 years plus mandatory pre-sales, QA automation, AI-led QE, and industry domain expertise.
Lead end-to-end support for RFPs, RFIs, and proposals related to Quality Engineering and Quality Intelligence services.
Develop solution narratives, value propositions, delivery models, and commercial assumptions while coordinating efforts with sales, delivery, SMEs, and leadership for timely and quality submissions.
Create and maintain reusable assets like proposal templates, estimation models, case studies, accelerators, and marketing collateral focused on QA Automation and AI-led Quality Engineering solutions.
6–10 years of experience in pre-sales, solutioning, consulting, quality engineering, testing, business analysis, or delivery support.
Good understanding and hands-on experience with Quality Engineering services including test strategy, automation, performance and security testing, and AI-led QA solutions.
Domain expertise in at least one industry: BFSI, Retail, Manufacturing, or Healthcare.
MBA or equivalent business exposure preferred but not mandatory.
Strong ability to translate ambiguous client requirements into structured, compelling solutions balancing business value, delivery feasibility, and commercial practicality.
Experienced collaborator engaging sales, delivery, SMEs, and leadership effectively in fast-paced pursuit environments.
Skilled at building reusable accelerators, best practices, and making AI-led Quality Intelligence solutions relevant and practical for clients.