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