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.
About the role
We are looking for a dynamic and experienced Pre-Sales Engineer to join our team. In this role, you will be the technical expert supporting the sales process, working closely with the sales team to identify customer needs, deliver compelling product demonstrations, and provide tailored solutions that meet client requirements. You will act as a bridge between our technical offerings and customer business challenges.
What you'll do
- Support the sales team throughout the pre-sales cycle by combining AI technical knowledge with advisory and consulting capabilities.
- Engage customers early to understand business objectives, data readiness, and overall AI maturity.
- Help customers define and prioritize AI use cases aligned with business value and feasibility.
- Advise customers on practical AI adoption approaches, including short-term wins and longer-term AI roadmaps.
- Position Mozn’s AI platform and AI capabilities such as LLMs, NLP, and RAG in a clear, business-focused manner.
- Translate customer challenges into AI solution concepts aligned with Mozn’s products and delivery models.
- Participate in customer meetings, workshops, and executive discussions as a trusted technical and strategic advisor.
- Deliver tailored presentations, product demonstrations, and solution walkthroughs.
- Support proof-of-concept activities to validate AI use cases and value.
- Contribute to RFP/RFI responses, technical proposals, and solution descriptions.
- Assist in defining solution scope, assumptions, and high-level delivery approaches.
- Collaborate closely with product, engineering, and data science teams to validate solution positioning and feasibility.
- Provide structured customer and market feedback to influence product improvements and roadmap priorities.
- Stay informed on AI trends, market developments, and competitor offerings to effectively position Mozn solutions.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- 4–6 years of experience in pre-sales, solutions consulting, AI consulting, or a similar customer-facing technical role.
- Solid understanding of AI concepts, particularly LLMs, NLP, and RAG, with the ability to explain them in business terms.
- Experience advising customers on AI use cases and solution approaches during the sales cycle.
- Strong communication and presentation skills, including engagement with senior stakeholders.
- Experience supporting RFP/RFI processes and writing technical or solution-oriented proposals.
- Strong problem-solving skills and ability to structure ambiguous requirements.
- Comfortable working in a fast-paced, collaborative environment.
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.
