Hiring: AI Product Management, VP II - State Street Investment Management Company: State Street Location: Boston, MA Job Posted Time: 2026-09-10 11:15:09 Target Skills & Keywords : AWS, Agile, CFA, GitHub, Machine Learning, Portfolio Management, Product Management, Project Management, Python, SQL About the job Experience: •15+ years of experience in asset management, with exposure to one or more of the following areas: portfolio management, trading, sales, client relationship management, product research, finance, or operations. •10+ years of product management experience in the asset management industry, with hands-on experience designing and implementing technology products across the full product lifecycle. •6+ years of AI engineering or adjacent AI-related experience, with a strong understanding of machine learning, predictive AI, generative AI, and agentic AI capabilities. •5+ years of experience leading technology-enabled transformation initiatives, including program or project management in complex, cross-functional environments. Required Skills: •Partner with business stakeholders to understand current workflows, identify pain points and opportunities, and reimagine ways of working through the effective integration of AI capabilities. •Translate business problems into AI product lines, reusable feature sets, and scalable service capabilities that improve efficiency and support enterprise-wide adoption. •Assess competitor, big tech, and fintech AI offerings to identify emerging capabilities, inform the product roadmap, and enhance the firm’s AI product portfolio. •Lead AI product implementation using Agile methodologies, manage roadmap execution and delivery milestones, and accelerate release cycles from concept through production. •Review and validate deliverables from AI engineering, data science, and financial engineering teams, providing detailed feedback to support rapid iteration and high-quality product outcomes. •Demonstrate new product capabilities, communicate release milestones and business impact, and manage stakeholder expectations throughout the product lifecycle. •Coordinate day-to-day execution across onshore and offshore AI engineering, data science, and financial engineering teams to ensure effective communication, prioritization, and delivery. Qualifications: •Master’s degree in computer science, engineering, finance, or a related quantitative discipline. •Hands-on experience designing and implementing multi-agent workflows, including human-on-the-loop command patterns and autonomous agentic workflows. •Proficiency with modern AI platforms, such as Google Gemini Enterprise and AWS Bedrock, and programming languages such as Python and SQL; familiarity with AI-assisted development tools such as Anthropic Claude Code and GitHub Copilot. •CFA Level II completion (or equivalent certification). Compensation: •$120,000 - $202,500 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!