Job Description
1. Deep Industry & Product Knowledge
Understand AI technologies, industry trends, and competitive landscape.
Be well-versed in your product’s capabilities, differentiators, and use cases.
Communicate the value of AI-driven automation and decision-making effectively.
2. Consultative Selling & Solution-Based Approach
Act as a trusted advisor, focusing on solving customer pain points rather than just selling a product.
Customize pitches based on a client’s industry, challenges, and goals.
Use case studies, ROI projections, and success stories to build confidence.
3. Strong Business Acumen
Understand business models, revenue streams, and KPIs that matter to your prospects.
Align your AI solution with the customer’s financial and strategic objectives.
Be able to justify investments in AI with tangible benefits like cost savings, efficiency, or risk reduction.
4. Enterprise Sales & Relationship Management
Navigate long and complex B2B sales cycles involving multiple decision-makers.
Build strong, long-term relationships with C-level executives and key stakeholders.
Leverage networking, referrals, and industry events to expand your influence.
5. Persuasive Communication & Storytelling
Translate technical AI concepts into clear, compelling business benefits.
Use storytelling to make your pitch more engaging and memorable.
Adapt communication styles for different audiences—technical teams, finance heads, and decision-makers.
6. Objection Handling & Negotiation
Anticipate and address concerns about AI adoption, data security, ROI, and implementation challenges.
Be skilled in pricing and contract negotiations while demonstrating flexibility.
Handle procurement hurdles and compliance concerns effectively.
7. Lead Generation & Pipeline Management
Use a structured sales process to qualify, nurture, and convert leads.
Leverage CRM tools (Salesforce, HubSpot, etc.) for tracking progress and managing follow-ups.
Align closely with marketing for lead generation campaigns and ABM (Account-Based Marketing).
8. Adaptability & Continuous Learning
Stay updated on AI advancements, evolving customer needs, and market shifts.
Be adaptable in adjusting sales strategies based on client feedback and new technologies.
Learn from customer interactions and refine your approach over time.
9. Collaboration with Internal Teams
Work closely with product, engineering, and customer success teams to ensure smooth implementation.
Provide customer insights to shape product development and feature enhancements.
Align with marketing on messaging, campaigns, and positioning.
10. Persistence & Resilience
Enterprise AI sales require patience—deals may take months or even years to close.
Stay motivated despite rejections and continuously refine your approach.
Focus on value-driven follow-ups rather than aggressive sales tactics.
Desired Candidate Profile
Any Arab National, Emirati (UAE)
Bachelor of Technology/Engineering, Bachelor of Commerce, Bachelor of Business Administration, Any Graduation
Any
Strong Business Acumen – Ability to understand customer KPIs, financial models, and strategic goals.
Sales Strategy & Pipeline Management – Hands-on experience in B2B enterprise sales cycles.
AI & SaaS Product Knowledge – Understanding of AI solutions, automation, and data-driven decision-making.
Excellent Communication & Negotiation Skills – Ability to influence key stakeholders across levels.
Persistence & Resilience – Enterprise AI sales take time, and we need someone who can stay motivated, patient, and strategic.