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Location
In office (Pune)
Seniority
Senior · 6+ years exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Aug 31, 2026. Zensar Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.

Experience & Skills

  • 6-10 years of experience across pre-sales, solutioning, consulting, quality engineering, testing, business analysis, or delivery support.
  • MBA or equivalent business exposure preferred but not mandatory.
  • Good understanding of Quality Engineering services, including test strategy, automation, performance testing, security testing, test data, release assurance, and managed testing services.
  • Hands-on experience building and implementing QA Automation, AI-led Quality Engineering, or AI Assurance solutions
  • Domain expertise in at least one industry: BFSI, Retail, Manufacturing, or Healthcare.
  • Experience supporting RFP/RFI responses, proposals, client presentations, and solution documentation.
  • Strong communication, PowerPoint storytelling, stakeholder management, and proposal-writing skills.
  • Ability to work effectively in fast-paced pursuit environments while maintaining quality and accuracy.

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.

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.

  • 6-10 years of experience across pre-sales, solutioning, consulting, quality engineering, testing, business analysis, or delivery support.
  • MBA or equivalent business exposure preferred but not mandatory.
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