Presales Engineer

Kanerika Inc

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

39 hours ago
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Job summary

Kanerika Inc. is seeking a results-driven Presales professional in Hyderabad to support IT opportunities. You will manage kickoff, bid planning, and responsive documentation, while collaborating with sales, product, and security teams to build compelling proposals.

The role requires MBA, 3+ years of presales experience, and strong communication with executives. You will contribute to templates, demos, and RFP responses, ensuring high-quality, compliant outputs.

Qualifications

  • MBA required from reputed institute.
  • 3+ years of experience in Presales in IT industry.
  • Strong communication and presentation skills.
  • Ability to engage with C-level executives and stakeholders.
  • Experience with presales tooling and collaboration platforms.

Responsibilities

  • Drive kickoff, bid planning, and response quality with high speed and accuracy.
  • Ensure adherence to bid plan and timely follow-ups.
  • Identify risks early and propose solutions, including mock-ups and win themes.
  • Ensure language, structure, and content meet client requirements and Kanerika standards.

Skills

Communication
Interpersonal relations
Intelligent probing
Collaboration
Presentation skills

Education

MBA

Tools

Presales templates
MS Teams
OneDrive

Job description

  • 1) Communication - Strong written and oral communications skills
  • 2) Interpersonal - Strong relationship building for getting work done efficiently
  • 3) Intelligent Probing - Asking smart questions, in-depth understanding of the opportunity context
  • 4)Collaboration - Effective use of tools - Presales Templates, MS Teams, OneDrive, Calendars, etc.
  • 5) Presentation Skills - Strong presentation skills and experience presentation to C-Level executives
Agility – Responsiveness
  • 1) Kickoff & bid planning - High reaction speed and quality, identification of the right team.
  • 2) Adherence to the bid plan - High reaction speed and quality; identification of the right team
  • 3) Follow-ups & reminders - Timely and appropriate reminders
  • 4) Pro activeness - Quick risk identification & highlighting; early identification of key deliverables not directly asked for (e.g. mock-ups) early win theme identification with the help of key stakeholders.
Responsibility –Deliverable Quality & Process compliance
  • 1) Language & articulation - Consistent, high-quality language across sections of a proposal; correctness of grammar, punctuation and appropriate capitalization
  • 2) Document structure - Standard template for general proposals; customized structure for specific requests like RFPs; story boarding for presentations
  • 3) Completeness & correctness - General completeness and according to requirements specified in solicitation documents; correctness of content - functional, technical, company data, process-related content, creative content like mock-ups, etc.
  • 4) Process compliance - Regular and timely updates, updating knowledge repository
  • 5) Aesthetics & document formatting - Quality, consistency/relevance of graphics - architecture diagrams, mock-ups, infographics, etc.; consistency of formatting (headings, fonts, indents, bullets, table and diagram captions, text alignment, etc.); adherence to Kanerika standards or client specified standards.
Global - leveraging Organizational Strength
  • 1) Relevance & quality of case studies - Including all relevant success stories,
  • 2) Leveraging the best contributors - Specific context of each opportunity
  • 3) Effective use of past knowledge – from the past presales deliverables
  • 4) Effective use of support groups - Talent management, Information Security, Legal, HR, etc.
What you’ll bring
Must Have Skills
  • MBA from reputed Institute
  • 3+ years of experience working in Presales in IT industry
Soft Skills
  • Communication Skills
  • Presentation Skills
  • Interpersonal relations
  • Flexible and Hard-working
Technical Skills
  • Knowledge of Presales Processes
  • Basic understanding of business analytics and AI
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