AI Manager

Accountabilities:: Define and drive the organization's AI strategy in collaboration with Staff and Principal Engineers, acting as a key ambassador for an AI-first culture. Lead and coordinate AI teams, establishing product development frameworks, quality standards, guardrails, evaluation processes (evals), and performance monitoring metrics. Facilitate discovery workshops, innovation sessions, and customer journey mapping to identify opportunities and design AI-powered product solutions. Oversee the end-to-end delivery lifecycle of AI initiatives, ensuring alignment with business objectives, stakeholder expectations, and organizational priorities. Establish and promote best practices for generative AI assistants, LLMs, RAG architectures, autonomous agents, and model validation processes. Drive the adoption and integration of AI solutions into business workflows, ensuring scalability, reliability, and continuous improvement. Build strong relationships between technical and business teams, translating complex AI concepts into clear product strategies and measurable outcomes. Support the definition and evolution of Release Train (RT) strategies and technical roadmaps. Encourage experimentation, rapid prototyping, and the strategic use of AI technologies to improve product performance and business efficiency. Requirements: Solid technical and product management experience with generative AI assistants, Large Language Models (LLMs), RAG architectures, autonomous agents, and evaluation frameworks. Practical experience with AI-powered development and agent platforms such as Devin, GitHub Copilot, Claude, or similar tools for proof-of-concepts, rapid prototyping, and strategic documentation. Ability to define and manage technical roadmaps, Release Train strategies, and product evolution initiatives. Knowledge of analytics and Business Intelligence tools, basic SQL, and digital product development practices, including feature definition and user story management. Strong facilitation skills, with experience leading workshops, product discovery sessions, and AI-focused journey mapping. Excellent communication skills and the ability to collaborate effectively with engineering, product, and business stakeholders. Strong strategic thinking, analytical capabilities, and problem-solving skills, combined with a hands-on approach to innovation. Ability to establish quality standards, governance practices, and performance measurement processes for AI-powered products. Nice to Have: Previous experience building AI teams, processes, and operations from the ground up in AI-first organizations. Experience in financial services, banking, or other highly regulated industries. Advanced knowledge of AI-specific performance metrics and continuous monitoring methodologies. Experience developing semantic product layers supported by evaluation frameworks and AI guardrails. Knowledge of integrating multiple data systems to enhance AI-powered analytics and business intelligence solutions. Active participation in open-source communities or initiatives related to LLMs, autonomous agents, RAG, or model evaluation. Familiarity with IUClick or other specialized enterprise ecosystem tools. Benefits: Fully remote working arrangement. Opportunity to lead a strategic AI-first transformation. Exposure to innovative technologies, including generative AI, LLMs, RAG, and autonomous agents. Opportunity to collaborate with experienced Staff and Principal Engineers and cross-functional leadership teams. Professional development through continuous learning and exposure to emerging AI technologies. Opportunity to shape innovative digital products and influence business strategy. Collaborative environment focused on innovation, technical excellence, and professional growth.