You enjoy contributing to the future of product innovation, supporting value creation for customers, assisting in successful launches, and meeting expectations. Join our dynamic team and make a meaningful impact by supporting the delivery of high-quality products that resonate with clients.

As a Product Director leading AI / LLM initiatives, you will assist in delivering a business-friendly, best-in-class enterprise Search capability incorporating the latest technologies (including AI/LLM) and applying best practices. You are expected to support the design and architecture of the solutions while focusing on various stages of the Software Development Lifecycle (SDLC). As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.

Job Responsibilities

• Oversees the product roadmap, vision, development, execution, risk management, and business growth targets for both conventional and LLM-based generative search.  
• Leverage a wide range of cutting-edge technologies such as Semantic Search, Personalized Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and Agents to enhance user experiences.
• Incorporate established search methodologies and technologies, including Boolean Search, Keyword Search, Faceted Search, and Full-Text Search, to improve overall search capabilities and user experience.
• Partner with internal stakeholders, including business leaders, data scientists, engineers, and designers, to align requirements, define product features, and ensure successful product delivery.
• Oversee the integration and release of Search and LLM technologies into GB products and services. Ensure that solutions are scalable, secure, and compliant with regulatory requirements.
• Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products. Use data-driven insights to support informed decisions and drive continuous improvement.
• Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives

Required Qualifications, Capabilities, and Skills

• 8+ years of building and launching AI / LLM products.
• Strong collaboration skills, with the ability to positively influence technology teams and stakeholders.
• Knowledge of AI/LLM and data product lifecycle, including discovery, data processing, model development, model deployment, and model monitoring.
• Familiarity with ElasticSearch, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents.
• Knowledge of LLM frameworks such as LangChain, LangGraph, and OpenLLM.
• Understanding of operationalizing AI products responsibly through MLOps pipeline.

• Basic expertise in Cloud computing and architecture (e.g., AWS).

   

Preferred Qualifications, Capabilities, and Skills

• Search Product experience preferred, but not required. Recognized thought leader in this space.
• Experience in Financial Services or other highly regulated industries.