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.