AI Platform Product Manager

Original job posting

Own the full product lifecycle of the Nasdaq AI Platform, from discovery and requirements gathering to launch and iteration. Partner with engineering, design, and business stakeholders to define success metrics and drive timely product decisions.

Job details

As a Product Manager reporting to The Vice President of Software Engineering, you'll play a critical role in shaping the vision, roadmap, and execution of the Nasdaq AI Platform — an enterprise platform that enables teams to build, deploy, and interact with AI capabilities, agents, and workflows. You'll thrive in this position if you're strategic, collaborative, and passionate about translating complex technical ideas into meaningful product experiences that deliver real business value. Key Responsibilities Own assigned product areas through the full lifecycle — from discovery and requirements gathering through launch, iteration, and production support. Gather, prioritize, and translate stakeholder and customer needs into clear, actionable requirements and user stories. Partner with engineering, design, and business stakeholders across sprints to clarify scope, resolve ambiguity, and drive timely decisions. Define success metrics for features and use data and user feedback to evaluate performance and guide future iterations. Communicate platform vision and roadmap progress to senior leadership, bridging technical complexity and business value. Required Qualifications Bachelor's degree in business, Computer Science, or a related field, or equivalent practical experience. 2–5 years of product management experience with a demonstrated track record of owning features end-to-end. Experience working with generative AI products, such as large language models, AI agents, or data-driven AI applications. Proven ability to manage a product roadmap and balance customer needs, business priorities, and technical feasibility. Strong stakeholder management and cross-functional collaboration skills, with excellent written and verbal communication abilities. Preferred Qualifications Familiarity with agile development practices and product management tools. Technical fluency is sufficient to engage credibly with engineering teams. Experience in fintech, SaaS, or enterprise platform environments. This position will be located in St. John’s and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What you’ll do

Own the full product lifecycle of the Nasdaq AI Platform, from discovery and requirements gathering to launch and iteration. Partner with engineering, design, and business stakeholders to define success metrics and drive timely product decisions.

Requirements

Requires a bachelor's degree in business, Computer Science, or a related field and 2–5 years of product management experience. Candidates must have experience with generative AI products and strong cross-functional collaboration skills.

Benefits

• Equal opportunity employer
• Inclusive workplace
• Reasonable accommodation

Listed skills

• Product management · Preferred
• Stakeholder Management · Preferred
• Cross-Functional Collaboration · Preferred
• Requirements gathering · Preferred
• Communication · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Product management
• Generative AI
• Large language models
• AI agents
• Roadmap management
• Stakeholder management
• Cross-functional collaboration
• Agile development
• Data-driven AI applications
• Technical fluency
• Requirements gathering
• User stories
• Product lifecycle management
• Strategic planning
• Communication
• Cross-Functional Collaboration
• Large Language Modeling
• Workplace Inclusivity
• Financial Technology (FinTech)
• Generative Artificial Intelligence
• Product Roadmaps
• Workflow Management
• AI Agents
• Agile Methodology
• Artificial Intelligence
• Applications Of Artificial Intelligence
• Business Valuation
• Software As A Service (SaaS)
• Computer Science
• Engineering Design Process
• Leadership
• Product Management
• Requirements Elicitation
• Software Engineering
• Stakeholder Management
• User Story
• Verbal Communication Skills
• User Feedback
• Business Priorities

Job areas

• Technology
• Software
• Management & Leadership
• Data & Analytics
• Finance & Accounting
• Platform Product Manager
• Product Manager (General)
• Research and Development Managers
• Marketing Managers