Job
                                Description
                            
                            
                                At ScryAI, we go beyond traditional sales - our B2B Sales Professionals play a strategic role in consultative selling, relationship-building, and navigating complex enterprise sales cycles. If you're passionate about AI-driven solutions and selling to enterprises, we want to hear from you!  Key Responsibilities:  1. Deep Industry & Product Knowledge    - Understand AI technologies, industry trends, and competitive landscape.    - Be well-versed in your products" 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.  Must-Have Skills: - Strong Business Acumen - Sales Strategy & Pipeline Management - AI & SaaS Product Knowledge - Excellent Communication & Negotiation Skills - Persistence & Resilience  Success in B2B AI sales isn't just about closing deals - it's about positioning yourself as a strategic vendor for your clients and partners and making them feel confident and sure that they are getting value out of us and our products/solutions.,