A global enterprise organisation is seeking a hands-on AI Sales Strategist based in the UAE who can turn Generative AI into measurable B2B revenue at enterprise scale. This is not an advisory or innovation side-project role — you will own the AI vision for a global sales organisation, build real-time AI-powered sales tools used by reps in live deals, develop predictive ML forecasting engines with ≥95% accuracy, and be directly measured by the ≥20% conversion rate lift your tools and models deliver. Requiring 3+ years of B2B enterprise software sales experience and deep applied expertise with Generative AI and LLMs, this is one of the most commercially impactful AI roles available in the UAE in 2026.
About the Opportunity — AI as Enterprise Sales’ Core Competitive Advantage
Scope: Own the AI vision and strategy for a global sales organisation — full P&L-linked responsibility
Tools: Build GenAI solutions delivering live deal scores, upsell signals, and buyer intent directly to reps
Models: Develop ML forecasting engines anticipating market shifts and pipeline risks with ≥95% accuracy
Autonomy: You set the AI sales agenda — no separate innovation lab, no permission required
Charter: Transformation — not incremental optimisation of legacy sales systems or processes
What You Will Gain from This Role
Production AI at Scale: End-to-end experience shipping AI tools used daily by a global salesforce
Strategic Leadership: Craft, pitch, and execute a multi-year AI sales roadmap tied to P&L outcomes
Cross-Functional Influence: Drive change across sales, product, and engineering — quantified in dollars
Frontier AI Access: Stay on the leading edge of LLM capabilities, agentic frameworks, and prompt engineering
Market Intelligence Depth: Build expertise in predictive modelling, scenario planning, and competitive AI analysis
Position Overview
The AI Sales Strategist in the UAE is a rare and genuinely high-stakes hybrid role that sits at the intersection of advanced AI engineering and enterprise B2B revenue generation. You will design and deploy GenAI solutions that surface live insights — deal scores, upsell signals, buyer intent — directly to sales representatives during active calls and negotiations. You will build predictive ML forecasting engines that anticipate market shifts, competitive moves, and pipeline risks. And you will own and execute a long-term AI-in-sales roadmap that transforms how the company sells across channels and geographies — measured not by technical elegance but by a concrete, minimum 20% lift in conversion rates.
This role demands a profile that genuinely does not exist in large quantities: someone with real B2B enterprise sales experience, deep GenAI and LLM applied capability, and the technical ability to build or deploy ML models for forecasting, lead scoring, and classification — all within a sales context where the models have to actually work in the hands of frontline reps during real deal cycles. You will also mentor AI specialists, translate complex model outputs for senior leadership, and raise the bar on what a global AI sales team can ship. If that combination describes you, apply now.
Why This Role Matters: Enterprise B2B sales organisations that integrate Generative AI and predictive ML effectively into their sales motion — surfacing the right intelligence to reps at the right moment in a deal cycle — achieve measurably better win rates, faster pipeline velocity, and more accurate revenue forecasting than those that don’t. The AI Sales Strategist is the professional who builds that advantage from the inside. This is not a technology experiment — it is a business strategy role where the output is measured in revenue, every initiative ties to a commercial outcome, and every model you build has to survive contact with a real sales team in a real deal. That is what makes this role both technically demanding and commercially extraordinary.
What You’ll Do — Key Responsibilities
GenAI Sales Tools — Real-Time Revenue Intelligence
- Ship real-time AI-powered sales tools — design and deploy GenAI solutions that surface live insights including deal scores, upsell signals, and buyer intent detection directly to sales representatives during active calls and negotiations, reducing the time reps spend searching for information and increasing the quality of their in-call decision-making
- Build and integrate live AI intelligence layers into the sales workflow — using LLMs including ChatGPT, Claude, Gemini, Copilot, or equivalent to create the conversational AI components, real-time summarisation, and actionable insight generation that makes every rep more effective in every deal they work
- Drive a measurable ≥20% lift in conversion rates directly tied to the AI tools and models you design and deploy — establishing the measurement framework, baseline metrics, and attribution methodology that allows the impact of your work to be quantified and reported to senior leadership with credibility
- Ensure all GenAI sales tools are production-grade and actually used by frontline reps — not polished prototypes that get demoed once and never adopted, but practical, reliable, well-integrated tools that reps choose to use because they genuinely improve deal outcomes
Predictive ML Forecasting & Pipeline Intelligence
- Build predictive forecasting engines using ML models that anticipate market shifts, competitive moves, and pipeline risks — targeting ≥95% accuracy and auto-updating within 48 hours of new data ingestion to ensure forecasts always reflect the most current available intelligence rather than stale historical patterns
- Develop ML models for lead scoring, classification, and sales propensity prediction — building the quantitative intelligence layer that identifies which prospects are most likely to convert, which accounts are at risk of churn, and which upsell opportunities are worth prioritising above others
- Apply expertise with streaming data platforms (Kafka, Spark Streaming) or real-time analytics pipelines — engineering the data infrastructure that enables sub-second signal processing and model inference in the live deal context where delayed insights have no commercial value
- Leverage familiarity with sales-tech APIs including Outreach, Salesloft, Gong, or equivalent — integrating AI models and GenAI tools directly into the platforms where sales reps already work, minimising adoption friction and maximising the real-world impact of every model and tool deployed
AI Sales Roadmap Ownership & Strategy
- Own the AI-in-sales roadmap end to end — defining a long-term strategy that fundamentally transforms how the organisation sells across channels, geographies, and customer segments, not merely optimising existing processes with incremental AI features
- Set the AI sales agenda without waiting for permission or a separate innovation mandate — operating with the autonomy and accountability of someone who owns the outcome, not someone who advises on it; every initiative ties back to a revenue line and a measurable business result
- Build AI-powered competitive intelligence and market research capabilities — applying GenAI and ML to external market data, competitive signals, and win/loss analysis to give the sales organisation sharper, faster competitive insight than rivals can generate through traditional research approaches
Team Leadership, Mentorship & Stakeholder Communication
- Coach and elevate the AI sales specialist team — mentoring AI/ML engineers and analysts, running technical reviews, setting engineering quality standards, and raising the collective capability of the group by creating a high-performance technical environment focused on commercial outcomes
- Translate complex model outputs and AI strategies into clear, compelling narratives — able to make a transformer architecture compelling to a VP of Sales, and able to make revenue impact quantification meaningful to an engineering team; bridging the communication gap is as important as building the models
- Provide technical input and AI strategy guidance in cross-functional meetings — representing the AI sales function credibly across sales, product, and engineering discussions and driving alignment on how AI capability investments translate into the commercial outcomes the business needs
What We Are Looking For
Must-Have Requirements
- 3+ years in B2B enterprise software sales — with a demonstrated track record of managing and closing complex, multi-stakeholder deals independently; this sales credibility is non-negotiable because the AI tools you build must survive contact with real sales reps in real deals
- Deep, applied experience with Generative AI and LLMs including ChatGPT, Claude, Gemini, Copilot, or similar — used in a commercial or go-to-market setting, not just personal experimentation; the distinction between production commercial application and personal hobby use matters enormously here
- Proven ability to build or deploy ML models for forecasting, lead scoring, or classification within a sales context — demonstrated by specific examples of models shipped, their measurable commercial impact, and the engineering decisions made to make them work in a real sales environment
- Strong command of sales strategy, customer journey design, and competitive dynamics — with concrete examples of how you have used AI to sharpen each; the commercial strategy foundation is as important as the AI technical capability
- Outstanding communication skills across both technical and commercial audiences — specifically including the ability to make AI model methodology and strategy credible and compelling to a VP of Sales who cares about pipeline and revenue, not neural network architecture
Nice-to-Have
- Hands-on experience with streaming data platforms (Kafka, Spark Streaming) or real-time analytics pipelines — supporting live AI insight delivery to sales reps during active deal cycles with sub-second response requirements
- Familiarity with sales-tech APIs — Outreach, Salesloft, Gong, or equivalent — enabling direct integration of AI models and GenAI tools into the sales workflow platforms reps use daily
- Published articles, conference talks, or visible thought leadership at the intersection of AI and revenue — demonstrating external credibility and the communication depth to represent the AI sales function beyond the organisation
Why AI Sales Strategist Roles in the UAE Are Exceptional in 2026
The convergence of Generative AI capability and enterprise B2B sales methodology is one of the most commercially significant developments in global technology right now — and the UAE, as a major hub for multinational enterprise technology companies and a rapidly growing AI adoption market, is one of the most attractive environments to pursue this intersection professionally. The demand for professionals who can bridge deep AI engineering capability with genuine B2B sales understanding is genuinely global and genuinely underserved — making this one of the rarest and most well-compensated hybrid roles in the current technology market.
For a professional who genuinely sits at both sides of this intersection — the B2B sales experience and the GenAI/LLM applied depth — the UAE offers a compelling base: zero personal income tax, an active enterprise technology market, and the opportunity to own an AI sales strategy at global scale, measured in revenue rather than research outputs. If you have built your career at the place where advanced AI meets high-stakes commercial selling, this is the role that matches your profile and rewards your expertise appropriately in 2026.
Who Should Apply?
- B2B Enterprise Sales Leaders with AI Engineering Capability: With 3+ years of complex multi-stakeholder deal experience and hands-on GenAI/LLM applied capability — the dual profile this role is specifically built for and genuinely does not accept on either dimension alone
- AI Product Managers with Commercial Sales Background: Who have owned AI roadmaps in commercial or go-to-market functions — with demonstrable ML model deployment experience in a sales or revenue context and the communication skills to drive C-suite alignment on AI investment
- Revenue Intelligence Engineers with Enterprise Sales Exposure: Who have built or deployed lead scoring, forecasting, or sales propensity ML models — and who understand the B2B enterprise sales cycle well enough to design AI tools that reps will actually adopt and use in live deal situations
- GenAI Go-to-Market Specialists: With deep LLM applied experience in commercial settings — ChatGPT, Claude, Gemini, Copilot or similar — who want to own the full AI sales strategy roadmap rather than contribute to individual feature development within a larger team structure
- UAE-Based or Relocating AI Revenue Leaders: Seeking a full-time senior role that combines AI engineering ownership with strategic commercial impact — measured by revenue outcomes, not technical KPIs, in one of the world’s most dynamic and AI-forward enterprise technology markets in 2026
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