AI Platform Sales Executive - AI / SaaS Solutions
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About the Role
Job Overview The AI Platform Salesperson is responsible for driving revenue growth by selling AI platforms, AI‑as‑a‑Service, and intelligent solutions to enterprise, mid‑market, or SMB customers.
Key Skills for This Role
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Overview
Job Overview The AI Platform Salesperson is responsible for driving revenue growth by selling AI platforms, AI‑as‑a‑Service, and intelligent solutions to enterprise, mid‑market, or SMB customers.
This role combines consultative enterprise sales , technical understanding of AI , and strong relationship management to help customers adopt AI technologies that solve real business problems.
Key Responsibilities 1.
Revenue & Pipeline Growth · Own and manage the end‑to‑end sales cycle : prospecting, discovery, solution design, proposal, negotiation, and closing.
· Achieve or exceed quarterly and annual sales targets .
· Build and maintain a strong, qualified sales pipeline .
· Identify upsell and cross‑sell opportunities within existing accounts.
2. Consultative & Solution‑Driven Selling · Understand customer business challenges and map them to AI platform capabilities such as: o Machine learning platforms o Generative AI / LLM platforms o AI analytics and decision intelligence o Computer vision / NLP solutions · Translate technical AI features into clear business value (ROI, productivity, cost reduction).
· Lead customer discovery workshops and solution discussions.
3.
Technical & Product Collaboration · Collaborate closely with: o AI Engineers & Data Scientists o Product Managers o Pre‑Sales / Solution Architects · Participate in product demos , PoCs (Proof of Concept), and pilot discussions.
· Stay updated on: o AI industry trends o Competitor platforms o Regulatory and ethical AI considerations 4.
Customer & Partner Management · Build long‑term relationships with: o C‑level executives o IT, Data, Digital, and Innovation leaders · Manage enterprise accounts and key stakeholders.
· Work with channel partners, cloud providers, and system integrators when required.
5.
Market Intelligence & Strategy · Track market trends in: o AI platforms o Cloud ecosystems (Azure, AWS, GCP) o Enterprise software buyers · Provide customer feedback to product and leadership teams.
Help define go‑to‑market Job Overview The AI Platform Salesperson is responsible for driving revenue growth by selling AI platforms, AI‑as‑a‑Service, and intelligent solutions to enterprise, mid‑market, or SMB customers.
This role combines consultative enterprise sales , technical understanding of AI , and strong relationship management to help customers adopt AI technologies that solve real business problems.
Required Skills & Qualifications Sales & Business Skills · 5+ years in B2B enterprise software sales (AI, SaaS, Cloud, Data or Analytics preferred) · Proven experience selling complex, high‑value solutions · Strong negotiation and deal‑closing skills · Ability to sell to both technical and business decision‑makers AI & Technical Understanding (Not Coding) · Solid understanding of: o AI / ML concepts o Generative AI & LLMs o Data platforms and cloud infrastructure · Ability to confidently discuss AI architectures, use cases, and deployment models · Comfortable working alongside technical teams Communication & Relationship Skills · Excellent presentation and storytelling skills · Strong executive presence · Ability to simplify complex AI concepts · Cross‑cultural and stakeholder management skills Preferred Qualifications · Experience selling: o AI platforms o Cloud platforms (Azure, AWS, GCP) o Enterprise SaaS · MBA or relevant business/technical degree · Experience in regulated or vertical markets (Finance, Healthcare, Government, Retail, Manufacturing) Key Performance Indicators (KPIs) · Revenue target achievement · Pipeline value and conversion rate · Deal size and sales cycle duration · Customer retention and expansion · Customer satisfaction and adoption satisfaction Typical Customers Enterprises undergoing digital or AI transformation · CIOs, CTOs, CDOs, Heads of Innovation · Business unit leaders seeking data‑driven automation
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