VP II, AI Product Management

State Street

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Boston, MA
Salary: $120,000–$202,500 / yr
Employment: Full-time
Posted: 63 days ago
Freshness: Confirmed live today
Closes: Nov 11, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $161k

$106k $248k

below market most similar roles pay here above market

This role pays less than 74% of similar roles. Most pay $161,250–$234,513 — the blue band above. At the midpoint, this role pays about $161k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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View all roles at State Street

At a glance

TL;DR · VP II, AI Product Management

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The AI Product Management, VP II - State Street Investment Management joins the Data, Analytics and AI Services team to shape and deliver AI-enabled products across the investment management business. This role serves as a bridge between business functions and engineering teams, translating workflows and pain points into scalable AI product capabilities. The successful candidate will identify opportunities, manage roadmaps using Agile methodologies, and coordinate execution across onshore and offshore teams. Key responsibilities include designing multi-agent workflows and validating deliverables from data science and financial engineering groups. Required technical skills include proficiency in Python, SQL, Google Gemini Enterprise, AWS Bedrock, Anthropic Claude Code, and GitHub Copilot. The role addresses the business problem of integrating machine learning, generative AI, and agentic AI into investment, product, client, finance, and operations functions.

Skills

Generative AI Agentic AI Machine Learning Python SQL AWS Bedrock Google Gemini Enterprise Anthropic Claude Code GitHub Copilot Agile Multi-agent workflows Data Science Financial Engineering

What you'll do

Translate business workflows and pain points into scalable AI product lines and reusable feature sets.
Lead AI product implementation using Agile methodologies to manage roadmap execution and delivery milestones.
Review and validate technical deliverables from AI engineering and data science teams to ensure high-quality outcomes.
Coordinate day-to-day execution and prioritization across onshore and offshore engineering and data science teams.
Assess competitor and fintech AI offerings to inform the product roadmap and enhance the firm's portfolio.
Demonstrate new product capabilities and communicate business impact to stakeholders throughout the product lifecycle.
Identify opportunities to integrate machine learning, generative AI, and agentic AI into existing business functions.

What we're looking for

Master’s degree in computer science, engineering, finance, or a related quantitative discipline.
15+ years of experience in asset management, including areas like portfolio management, trading, sales, or operations.
10+ years of product management experience in the asset management industry.
6+ years of AI engineering or adjacent AI-related experience, including machine learning, generative AI, and agentic AI.
5+ years of experience leading technology-enabled transformation initiatives in complex, cross-functional environments.
Hands-on experience designing and implementing multi-agent workflows and autonomous agentic workflows.
Proficiency with Python, SQL, Google Gemini Enterprise, and AWS Bedrock.
Experience as an AI Product Manager within a financial institution (preferred); CFA Level II completion (preferred).