Presales Consultant, Applied AI
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About MOZN
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact. If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
What you'll do
Lead consultative AI and data analytics presales engagements, guiding customers from problem discovery to solution definition and technical validation.
Partner with business and technical stakeholders to understand strategic objectives, data challenges, and AI maturity, and translate them into actionable solution approaches.
Advise customers on AI use cases, prioritization, and adoption roadmaps, focusing on measurable business value rather than technology alone.
Deliver targeted demonstrations, workshops, and proof-of-concepts aligned with customer priorities and decision criteria.
Support complex sales cycles through structured responses to RFPs, RFIs, and executive-level discussions.
Communicate AI and analytics concepts clearly to both technical and executive audiences, enabling informed decision-making.
Collaborate closely with Sales, Product, and Delivery teams to shape deal strategy and ensure a smooth transition from presales to delivery.
Continuously develop expertise in Mozn’s AI and analytics offerings, industry trends, and competitive landscape.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline; a Master’s degree is a plus.
- 7+ years of experience in presales, solutions consulting, AI/data analytics consulting, or a similar senior customer-facing technical role, preferably in enterprise or regulated environments.
- Strong understanding of AI and advanced analytics concepts, including LLMs, NLP, RAG, and model lifecycle considerations, with the ability to translate technical capabilities into business value.
- Proven experience advising customers on AI strategy, use-case definition, and solution approaches throughout complex sales cycles.
- Demonstrated ability to engage, influence, and communicate effectively with senior stakeholders, including executives and technical leadership.
- Solid experience leading RFP/RFI responses and contributing to solution design, technical narratives, and value propositions.
- Excellent analytical and problem-structuring skills, with the ability to navigate ambiguity and guide customers toward clear decisions.
- Comfortable operating in fast-paced, cross-functional environments, collaborating closely with Sales, Product, Data Science, and Delivery teams.
- Arabic Language is a must
Benefits
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
- The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline; a Master’s degree is a plus.
Responsibilities
- Lead consultative AI and data analytics presales engagements, guiding customers from problem discovery to solution definition and technical validation.
- Partner with business and technical stakeholders to understand strategic objectives, data challenges, and AI maturity, and translate them into actionable solution approaches.
- Advise customers on AI use cases, prioritization, and adoption roadmaps, focusing on measurable business value rather than technology alone.
- Deliver targeted demonstrations, workshops, and proof-of-concepts aligned with customer priorities and decision criteria.
- Support complex sales cycles through structured responses to RFPs, RFIs, and executive-level discussions.
- Communicate AI and analytics concepts clearly to both technical and executive audiences, enabling informed decision-making.
- Collaborate closely with Sales, Product, and Delivery teams to shape deal strategy and ensure a smooth transition from presales to delivery.
- Continuously develop expertise in Mozn’s AI and analytics offerings, industry trends, and competitive landscape.
About Mozn
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