VP of Engineering

il y a 9 heures


Paris, France Edison Smart® Temps plein

Edison Smart are looking for a VP of Engineering to join a leadership team building a fast-growing, cross-platform AI assistant used by both consumers and enterprise clients. This organisation is focused on delivering high-performance, enterprise-ready AI products that integrate seamlessly into everyday work. Their platform supports both on-premise and cloud deployments and is built with scalability, reliability, and user experience at its core. You'll join a collaborative, low-ego, high-impact engineering culture operating across multiple international locations, with a strong focus on innovation and execution. Role Summary As VP of Engineering, you will own the engineering roadmap for a cross-platform AI product area of 30+ engineers. You'll be responsible for scaling a high-quality product that serves both direct-to-consumer and enterprise use cases, while solving complex technical challenges in AI and machine learning. You will play a key role in the leadership team, shaping technical strategy and accelerating product adoption. Key Responsibilities Technical Vision & Strategy Define and drive the technical vision and engineering roadmap in collaboration with founders and product leaders Ensure alignment with business goals and market needs across consumer and enterprise segments Stakeholder Collaboration Partner closely with product management to define, prioritise, and deliver new features Adapt priorities and roadmap based on user feedback and data Delivery & Execution Ensure consistent, high-quality delivery across teams Balance speed of iteration with long-term platform stability and scalability Technical Leadership Act as the senior technical authority, guiding teams through complex technical decisions Stay current with advancements in AI, ML, and conversational technologies Scale & Structure Build engineering foundations that support rapid growth Establish best practices for scalable, efficient product development across D2C and B2B Performance & Metrics Define and track KPIs to measure product and platform performance Use data-driven insights to continuously optimise systems and processes About You 10+ years of engineering experience, including 4+ years in senior leadership roles Strong experience building and scaling large-scale systems Proven success delivering products for both consumer and enterprise markets Background in AI, ML, LLMs, or conversational AI is highly desirable Product-focused with strong commercial and business awareness Experienced in scaling, structuring, and leading high-performing teams Pragmatic, outcome-driven, and able to balance short-term delivery with long-term vision Strong problem-solving skills Fluent in English


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