Presales Associate

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description (www.innefu.com)

Founded in 2010, Innefu is an AI Driven R&D company providing cutting edge Data Analytics and Information Security solutions. The company was started with a clear focus to carry out high Tech R&D which fuels innovation and leads to products which can capture the global market and be the cornerstone of the economy of the country.

With more than 100+ installations across Indian Subcontinent, Middle East and Southeast Asia, the company is today a de-facto leader in developing and deploying AI for National and cyber-Security.


The company with its own range of products serves a diverse client base including Defense and Intelligence organizations, Law Enforcement Agencies, Financial Intelligence Units, BFSI as well as top Fortune 500 companies.

Having worked with some of the most sensitive organizations, the company has a deep understanding of handling sensitive and critical installations. The company has a clear focus on developing state-of-the-art products oriented towards solving real world problems of our clients with exemplary support to ensure 100% customer satisfaction.

Presales Associate

Key Responsibilities:

  • Collaborate with sales and delivery teams to understand client requirements and develop tailored solutions leveraging our data analytics offerings.
  • Lead technical discussions, product demonstrations, and proof of concepts with clients and stakeholders.
  • Prepare high-quality technical documentation, proposals, RFP responses, and presentations to effectively communicate solution value.
  • Develop cheat sheets, success stories, and reference materials to support sales enablement and customer education.
  • Work closely with product, engineering, and consulting teams to ensure alignment of client requirements with solution capabilities.
  • Provide expert guidance on data analytics tools, methodologies, and best practices during client engagements.
  • Act as a trusted advisor to clients, building credibility through deep domain knowledge and clear communication.
  • Support bid and proposal processes with structured responses, ensuring technical accuracy and compliance with client requirements.

Required Skills and Qualifications:

  • 3+ years of experience in presales, solution consulting, or technical pre-sales within data analytics or related domains.
  • Strong technical understanding of data analytics, including data integration, BI tools, reporting, dashboards, machine learning workflows, and data governance.
  • Proven experience preparing technical documentation, RFP responses, presentations, product demos, cheat sheets, and success stories.
  • Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Ability to work under pressure, meet deadlines, and manage multiple proposals and client interactions concurrently.
  • Strong stakeholder management skills with a consultative approach.
  • Experience working in client-facing roles with global delivery or consulting firms.


Location: North Delhi

NOTE: Immediate joiner will be preferred.

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now
Innefu Labs logo
Innefu Labs

Information Technology

New Delhi

RecommendedJobs for You

hyderabad, bengaluru, mumbai (all areas)

Bengaluru, Karnataka, India

Mumbai, Nagpur, Thane, Nashik, Pune, Aurangabad