AI Product Manager - AI Enablement
Listed on 2026-07-20
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Overview
Senior AI Platform Product Expert
The Senior AI Platform Product Expert will play a key role in delivering AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Data Platform. Under the AI Enablement Product Owner, this role translates strategic AI initiatives into executable product features and workflows that can be adopted by Charles River’s user community. You will partner with engineering, architecture and product teams to design, build, and deploy AI-powered functionality—such as copilots, automation tools, and decision-support capabilities—embedded within investment management workflows.
The role focuses on execution, iteration, and adoption to ensure AI solutions are practical, scalable, and aligned to user needs. The position requires hands-on product leadership to operationalize AI as part of the Charles River suite, driving use-case discovery, model integration, workflow design, governance alignment, and performance measurement to deliver measurable impact across internal operations and client-facing solutions.
Why this role is important
- Delivers Execution at Scale:
Converts AI strategy into tangible product features with measurable outcomes. - Accelerates Product Innovation:
Rapidly builds and iterates on AI use cases to enhance the platform. - Ensures Adoption and Usability:
Focuses on user experience and real-world applicability. - Supports Consistency and Quality:
Applies standard patterns for AI integration to enable reliable delivery. - Engages with Clients Strategically:
Guides interactions to align functionality with market needs.
What you will be responsible for
Based in the greater Boston area, the role collaborates with internal Charles River and Alpha teams (R&D, client management, professional services, sales) and external stakeholders (clients and prospects) to augment platform functionality with agentic AI/ML capabilities both as embedded components and via integration techniques (API, MCP, CLI).
- Execute against the AI product roadmap defined by the AI Enablement Product Owner
- Break down high-level AI initiatives into deliverable features, user stories, and sprint priorities
- Identify and refine AI use cases (automation, copilots, analytics) aligned to product and client needs
- Partner with engineering and data science teams to deliver AI/ML-enabled functionality
- Support integration of LLMs, ML models, and APIs into product workflows
- Contribute to end-to-end delivery—from design through deployment and adoption
- Collaborate with UX/design teams to ensure intuitive and effective user experiences
- Monitor product performance and adoption, using data to iterate and improve solutions
- Ensure alignment with AI governance, risk, and compliance frameworks
- Act as a key liaison across product, engineering, and business stakeholders
What we value
These skills will help you succeed in this role:
- Experience working in fintech, SaaS, or data-driven platforms
- Familiarity with APIs, cloud platforms, and modern application architectures
- Exposure to AI/ML products, copilots, or workflow automation tools
- Experience building or scaling AI copilots or workflow automation tools
- Experience with MCP server frameworks and linking of agents
- Excellent organization skills; ability to manage multiple complex tasks simultaneously and meet self-imposed deadlines in a dynamic environment
- Strong collaboration skills across technical and business teams
- Ability to execute in agile environments with multiple concurrent priorities
- Strong analytical and problem-solving capabilities
- Effective communicator with the ability to translate business needs into technical requirements
- Consultative presentation style to diverse and complex audiences
Education & Preferred Qualifications
- 3–7+ years in product management, product delivery, or related roles
- Experience contributing to software or data platform initiatives
- Exposure to AI technologies (LLMs, ML models, automation frameworks) preferred
- Strong understanding of product development lifecycle and agile methodologies
- Bachelor’s degree in Business, Finance, Computer Science, or related field
About State Street
State Street is one of the largest custodian banks,…
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