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Solution Partner

Job in Dubai, Dubai, UAE/Dubai
Listing for: Neol
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Neol is an AI-native technology solutions company. We work with government entities and strategic institutions to uncover high-impact opportunities hidden in their data, workflows, and mandates. Using our core technology platform, we build AI-native solutions that transform how teams search, analyze, and act on information, developed through structured discovery and rapid prototyping in our partners’ real operational context.

About Neol

Neol is an AI-native technology solutions company. We work with government entities and strategic institutions to uncover high-impact opportunities hidden in their data, workflows, and mandates. Using our core technology platform, we build AI-native solutions that transform how teams search, analyze, and act on information, developed through structured discovery and rapid prototyping in our partners’ real operational context.

About the Role

The Solution Partner sits at the center of Neol’s early-stage delivery and customer success funnel. This role is designed to bridge business development, solution scoping, delivery quality, and ongoing customer success.

The ideal Solution Partner is a structured, analytical, and client-facing operator who is comfortable navigating ambiguity and turning complexity into clarity. They enjoy being close to real customer problems, working across disciplines, and ensuring that good ideas become well-defined, deliverable solutions that actually create impact.

They are equally comfortable speaking with senior stakeholders, diving into operational details, and collaborating closely with product and engineering teams. They take ownership naturally, care deeply about quality and follow-through, and are motivated by seeing customers succeed over time.

Once initial BD conversations open the door and generate interest, the Solution Partner steps in to deeply understand the client’s real problems, map workflows, surface operational pain points, and analyze real data conditions. They validate needs and translate them into clear, actionable, AI-native pilot or project scopes, ensuring that the right projects are chosen, well-defined, feasible, and valuable. Working closely with the product and engineering teams, the Solution Partner anchors client expectations, prepares delivery-ready scopes, and ensures quality-controlled execution from the very start.

After the initial customization or pilot phase is completed, the Solution Partner becomes the primary point of contact for the customer. In this phase, they ensure successful adoption, monitor early impact, and support expansion into new use cases, teams, or workflows by building on proven outcomes. Throughout this process, the role continuously synthesizes insights across engagements, identifying repeatable patterns and opportunities that contribute to scalable solutions, reusable IP, and long-term customer success.

Key Responsibilities
  • Structured Discovery
    • Run structured discovery sessions with client teams, including interviews, role-by-role workflow walkthroughs, and process deep dives.
    • Ask probing questions to uncover operational pain points, bottlenecks, data challenges, decision flows, and unmet needs.
    • Conduct desktop research, benchmarking, and inspiration gathering to inform solution directions.
    • Analyze current-state processes, data sources, tools, and organizational constraints.
    • Capture insights in a clear, consistent structure that can be easily consumed by BD, product, engineering, and leadership.
  • Opportunity Synthesis
    • Identify themes and recurring problems across conversations and stakeholder groups.
    • Transform raw notes, signals, and anecdotes into clear, structured problem statements.
    • Distinguish between nice-to-have ideas and real, recurring, high-value problems.
    • Formulate early hypotheses for solution directions grounded in feasibility and data realities.
    • Produce concise Opportunity Summaries that help BD progress conversations with clarity and confidence.
  • Scoping Phase:
    Validate the Problem
    • Goal:
      Determine whether a real, valuable, and solvable problem exists.
    • Outputs:
      • Clear articulation of the problem and its root causes
      • Evidence that the problem is frequent, painful, and valuable to solve
      • Alignm…
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