Senior AI Product Manager, AVP - State Street Investment Management

State Street•Boston, MA

About The Position

State Street Investment Management’s Data, Analytics and AI Services team is seeking a Senior AI Product Manager at the Assistant Vice President level to shape and deliver AI-enabled products across its investment management business. The role bridges business functions and AI engineering teams, translating business workflows, pain points, and opportunities into scalable AI product capabilities that produce measurable business impact. The successful candidate will combine asset management domain expertise, product management experience, and practical knowledge of machine learning, generative AI, and agentic AI. The role partners with business stakeholders, AI engineers, data scientists, and financial engineers to support the firm’s AI transformation across investment, product, client, finance, and operations functions.

Requirements

Master’s degree in computer science, engineering, finance, or a related quantitative discipline.
10+ years of experience in asset management, with exposure to one or more of portfolio management, trading, sales, client relationship management, product research, finance, or operations.
7+ years of product management experience in the asset management industry, including hands-on experience designing and implementing technology products across the full product lifecycle.
5+ years of AI engineering or adjacent AI-related experience, with a strong understanding of machine learning, predictive AI, generative AI, and agentic AI capabilities.
3+ years of experience leading technology-enabled transformation initiatives, including program or project management in complex, cross-functional environments.
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.

Nice To Haves

Experience serving as an AI Product Manager within a financial institution.
CFA Level II completion or equivalent certification.

Responsibilities

Partner with business stakeholders to understand workflows, identify pain points and opportunities, and reimagine work through 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 AI product portfolio.
Lead AI product implementation using Agile methodologies, manage roadmap execution and delivery milestones, and accelerate releases 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 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.

Benefits

Retirement savings plan (401K) with company match.
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages.
Paid time off including vacation, sick leave, short-term disability, and family care responsibilities.
Access to an Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, excluding certain sales roles subject to sales incentive plans.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.