Presales Manager - AI & Analytics

Job Title: Manager Presales - AI & Analytics

Job Summary

We are seeking an experienced Senior Manager Presales to lead our pre-sales efforts in the AI & Analytics vertical. The ideal candidate will have a strong background in AI, data analytics, and cybersecurity technologies, excellent communication skills, and the ability to drive sales strategies. This role involves working closely with cross-functional teams to deliver innovative solutions that meet customer needs and drive business growth.

Key Responsibilities

Strategic Leadership: Develop and execute pre-sales strategies aligned with business objectives, ensuring alignment with sales teams and customer needs.

Solution Design & Delivery: Lead the design and delivery of complex AI and analytics solutions, integrating cybersecurity capabilities to address customer challenges.

Client Engagement: Build and maintain strong relationships with C-level stakeholders, IT decision-makers, and technical teams to understand their AI and analytics needs and provide tailored solutions.

Technical Expertise: Stay updated on emerging AI, analytics, and cybersecurity technologies, trends, and regulatory frameworks to position our solutions effectively in the market.

Team Management: Mentor and guide a team of presales consultants to enhance their technical expertise and sales acumen.

Proposal Development: Assist in preparing high-quality proposals, quotations, and technical documentation to support sales efforts.

Industry Representation: Represent the company at industry events, conferences, and seminars to promote our brand and solutions.

Requirements

Education: MBA from a reputable institution.

Experience: Minimum 6 years of experience in AI, analytics, or cybersecurity pre-sales, with a proven track record of success.

Technical Skills: Strong understanding of AI, machine learning, data analytics, and cybersecurity concepts, including threat detection, incident response, and compliance.

Communication Skills: Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Certifications: Relevant certifications such as CISSP, CISM, or CISA are preferred.

Industry Knowledge: Familiarity with cloud security, network security, AI, ML and data analytics technologies.

Leadership Skills: Proven ability to lead cross-functional teams and mentor junior team members.