AI Platform Product Manager

About the role

We are looking for an AI Platform Product Manager to bridge customer needs with scalable product solutions. Reporting to the VP of Product, you will drive product discovery, strategy, and execution for our AI‑driven API platform across web and mobile experiences.

Key responsibilities

• Collect, evaluate, and prioritize feature requests from users, sales, and market insights.
• Conduct market research and benchmark competitors, focusing on API platforms, AI technologies (LLMs, RAG, vector search), and user experience.
• Develop detailed user stories and acceptance criteria for APIs (REST/GraphQL), SDKs, webhooks, and AI‑powered functionalities.
• Collaborate with the VP of Product and engineering leads to prioritize features in line with the overall product strategy.
• Plan and maintain the product roadmap, adjusting priorities based on market trends and feedback.
• Manage a structured product backlog and oversee feature releases following CI/CD practices.
• Lead internal testing sessions to validate usability, accessibility, and quality.
• Analyze feature performance using tools like Mixpanel and recommend improvements.
• Keep product documentation current, including API references, wireframes, and release notes.
• Work alongside marketing and customer success teams to ensure smooth product launches and communications.

Required profile

• Minimum 4 years of product management experience in a B2B SaaS environment.
• Proven track record delivering API‑first or platform‑based products.
• Strong understanding of AI technologies such as large language models, prompt engineering, and evaluation frameworks.
• Excellent UX/UI sensibility with experience in wireframing and prototyping.
• Solid grasp of agile methodologies and tools like Jira and Confluence.
• Highly organized, detail‑oriented, and able to work efficiently across teams.
• Fluent in English and Arabic with strong communication skills.

Required skills

• OpenAPI / Swagger specifications
• REST and GraphQL API design
• SDKs and webhooks development
• Large language models (LLMs) and prompt engineering
• Evaluation frameworks for AI
• Figma and Miro for wireframing/prototyping
• Jira and Confluence for agile project management
• Mixpanel for product analytics
• CI/CD pipelines for feature releases