We are the team that proves AI works at scale. If you want to stop theorizing about AI and start deploying it to the world's most complex supply chains, you belong in Forward Deployed Engineering. You belong here because you possess a rare mix of deep technical empathy and architectural backbone.
Key Responsibilities
- Experience with various LLM architecture design using RAG, MCP, and hybrid models.
- Good understanding of choosing the right ML algorithms based on business problems.
- Experience in prototyping AI solutions including a good understanding of data vectorizations and feature designs.
- Collaborate with the company external customers specifically in Retail and Manufacturing to drive workshops and outline AI use-cases.
- Develop PRD’s to clearly communicate requirements to the Engineering teams.
- Leverage AI to solve pressing business challenges for our enterprise customers.
- Use the various AI Studios to quickly create a proposed prototype for both neural networks and Agentic AI use cases.
- Partner with leadership, customers, and prospects to identify opportunities where AI can deliver value at scale for multiple the company customers to build end-to-end processes using AI.
- Define and track key business metrics that demonstrate business impact.
- Collaborate with our engineering and development teams working on AI technologies, UX designers, and GTM teams to accelerate bringing products to market.
- Develop customer-facing multi-modal Generative AI demos specific to use cases and document the script.
- Conduct hands-on market research to validate requirements and ensure we're building solutions that address real customer needs and market opportunities.
Requirements
- 10+ years of product management expertise with a proven track record of shipping.
- 3+ years of hands-on experience building generative AI models and shipping at scale.
- Experience in building conversational tools and chatbots.
- Strong time-management and organizational skills for coordinating multiple initiatives and complex projects.
- Strong analytical and problem-solving skills.
- Experience in successfully partnering with Data Science teams.
- Passion for directly engaging with customers — from requirements gathering to demos and sales support.
- Fluent professional proficiency in English (both written & spoken) is a must; Arabic is a plus.
Work Conditions
- Employment Type: Regular Full Time
- Career Status: Professional
- Additional Locations: Hybrid work options available.