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Presales requirement-Internal

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Onsite

Presales requirement-Internal

Mindteck

Presales requirement-Internal

Skills

Data AnalysisAICRMBusiness Development

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Role & responsibilities

Preferred candidate profile

  • Bachelors degree in Engineering; a masters degree or MBA is an advantage.
  • 5+ years of experience in pre-sales, solution consulting, technical sales, business development, or engineering services.
  • Prior experience with an engineering services company, product engineering organization, or technology consulting firm.
  • Strong presentation preparation and storytelling skills, with the ability to create executive-ready PowerPoint decks.
  • Ability to translate customer problems into practical technical and business solutions.
  • Good understanding of engineering services engagement models, estimation, proposals, and RFP/RFI processes.
  • Excellent verbal and written communication skills.
  • Strong customer-facing, stakeholder-management, and collaboration abilities.
  • Willingness to travel for customer meetings as required.

Preferred Attributes

  • Comfortable engaging with senior engineering, product, procurement, and business leaders.
  • Consultative mindset with a strong focus on customer value and outcomes.
  • Able to coordinate multiple opportunities and work effectively in a fast-paced environment.
  • Familiarity with CRM tools and proposal-management processes is preferred.

Domain Exposure

The candidate should have experience or strong working knowledge in one or more of the following areas:

  • Storage and data platforms
  • Hi-tech and Semicon
  • Medical devices
  • Analytical instruments
  • Industrial products and automation
  • Embedded systems
  • Mechanical engineering and product design
  • Electrical and electronics engineering
  • Digital products, connected products, IoT, cloud, and software platforms
  • AI, analytics, and intelligent automation

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