AI & Innovation Manager

AI Strategy & Innovation Leadership Define and execute company’s AI and innovation roadmap aligned with business goals Identify and prioritize opportunities to apply AI, automation, and data-driven solutions Promote a culture of innovation, experimentation, and continuous learning across the organization Establish a structured innovation pipeline with clear stage gates, KPIs, and decision frameworks Venture Building & Product Innovation (0 → 1) Own the full lifecycle: opportunity discovery → concept → prototype → pilot → validated MVP Build and lead a small, senior team of product builders, designers, and technical generalists Drive momentum across 2–4 parallel product experiments Make decisive calls on what to build, pivot, pause, or kill Work closely with leadership, domain experts, and early users to shape solutions in real time Present clear, evidence-based go / no-go recommendations Rapid Prototyping & Experimentation Build and ship functional prototypes within days using no-code/low-code tools (e.g., Bubble, Webflow, Retool, Airtable, Zapier, Make, n8n, Thunkable) Develop “Wizard of Oz” MVPs to validate assumptions before full investment Design experiments that generate meaningful insights, not just activity Test products with real users (e.g., brokers, buyers, investors, lenders) Define and track success metrics such as activation, conversion, retention, and unit economics Technical Leadership & Scaling Stay hands-on—building alongside the team when needed Design scalable system architectures transitioning from prototype to production Make sound technical decisions around APIs, backend infrastructure, databases, and integrations Bridge rapid prototyping with production-grade engineering Partner closely with engineering teams during handover and scale-up phases Collaboration & Stakeholder Management Collaborate cross-functionally with HR, Operations, IT, and Commercial teams Manage relationships with external partners, vendors, and startups Ensure compliance with data privacy, security, and ethical AI standards Requirements 7–10+ years of experience building digital products in startups, scale-ups, or venture environments Proven track record of launching 3–5 products from idea to live MVP with real users Strong technical foundation in backend development, APIs, solution architecture, and data modeling Deep experience leading teams in high-speed, ambiguous environments Hands-on experience with no-code/low-code tools and rapid prototyping Comfortable with light coding (Python, JavaScript, Node.js) and API integrations Strong understanding of AI technologies (Machine Learning, NLP, Automation, Data Analytics) Experience embedding AI into business processes and products Experience in PropTech, FinTech, or marketplace platforms Strong understanding of MENA markets, especially Egypt and KSA Background in venture studios, innovation labs, or startup builders Experience in regulated industries (real estate, finance, payments) Proven ability to hire, mentor, and scale high-performing technical teams