Technology Product Manager / infrastructure and AI platform/ leading Public/prvate Asset Manager

Glenborn Corporation; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Glenborn Corporation in New York, NY is seeking a Technology Product Manager for Infrastructure & AI Platform to drive delivery of infrastructure and AI capabilities. You will work closely with Platform Engineering and Core Infrastructure, translating priorities into actionable roadmaps and ensuring governance, security, and costs are managed across multiple teams.

The role requires in-person attendance (Hybrid 4/1) at New York offices with occasional trips to Stamford, CT, and offers a

Qualifications

• 5+ years of experience in technical project, program, or product management roles.
• Bachelor’s degree with a record of academic success.
• Proven track record delivering multi-team technical projects with dependencies and fixed deadlines.
• Hands-on experience running Agile (Scrum or Kanban) teams and working knowledge of the SDLC.
• Working understanding of platform technology, including cloud platforms (AWS and/or Azure), identity and SSO, networking, APIs, CI/CD, and infrastructure-as-code.
• Heavy daily use of LLM tools and understanding of core AI concepts (models, agents, MCP, token and cost optimization).
• Experience with project management and documentation tools (e.g., Jira, Confluence, Smartsheet).
• Experience in investment management, financial services, or another regulated industry preferred.
• Agile or project management certification (e.g., CSM, PSM, CSPO, PMP) is a plus.

Responsibilities

• Collaborate with Infrastructure leadership to translate priorities into actionable project plans with clear scope and milestones.
• Break down initiatives into well-defined work with requirements and acceptance criteria.
• Track and manage dependencies across engineering, infrastructure, security, software, and business teams.
• Identify and elevate risks and delays, providing recommended solutions.
• Lead team status meetings, daily stand-ups, and sprint planning.
• Manage the project portfolio and maintain visibility of in-flight and upcoming work.
• Drive the delivery of the AI platform roadmap, including gateways, model providers, tool integrations, and the citizen-developer environment.
• Translate AI policies into platform requirements and controls in partnership with Compliance, Legal, and Information Security.
• Define human-in-the-loop requirements with Compliance for agentic workflows.
• Track and report AI platform adoption and spend.
• Assess the impact of new vendor releases on existing plans.
• Partner with business and research teams to understand needs and integrate them into the platform roadmap.

Skills

PM experience

Agile experience

SDLC knowledge

LLM tools

Stakeholder mgmt

Education

Bachelor's degree

Tools

Jira

Confluence

Smartsheet

Job description

About Our Client

Our client is a leading global investment management firm with a research-driven approach and a significant presence across major financial centers. The firm manages a multi-billion dollar portfolio spanning public and private markets and is recognized for its commitment to technology-driven innovation.

About the Role

The Technology Product Manager, Infrastructure & AI Platform, will join the Infrastructure team, working closely with Platform Engineering and Core Infrastructure. This role is responsible for the predictable delivery of infrastructure and platform initiatives, with a particular focus on the firm’s AI platform. The position requires in-person attendance (Hybrid 4/1) at offices in New York, NY with occasional trips to Stamford, CT

Responsibilities

Planning and Delivery

• Collaborate with Infrastructure leadership and technical leads to translate priorities into actionable project plans with clear scope and milestones.


• Break down initiatives into well-defined work with requirements and acceptance criteria.


• Track and manage dependencies across engineering, infrastructure, security, software, and business teams.


• Identify and elevate risks and delays, providing recommended solutions.


• Lead team status meetings, daily stand-ups, and sprint planning.


• Manage the project portfolio and maintain visibility of in-flight and upcoming work.

AI Platform Delivery

• Drive the delivery of the AI platform roadmap, including gateways, model providers, tool integrations, and the citizen-developer environment.


• Translate AI policies into platform requirements and controls in partnership with Compliance, Legal, and Information Security.


• Define human-in-the-loop requirements with Compliance for agentic workflows.


• Track and report AI platform adoption and spend.


• Assess the impact of new vendor releases on existing plans.


• Partner with business and research teams to understand needs and integrate them into the platform roadmap.

Communication and Stakeholder Management

• Own regular communication with stakeholders, including weekly status and leadership updates.


• Build relationships with partner teams and represent Infrastructure commitments and constraints.

Documentation and Controls

• Ensure current documentation for significant initiatives, including plans and decision logs.


• Maintain an inventory of AI tools, models, connectors, agents, and associated controls.


• Test AI platform controls and maintain audit-ready evidence.


• Partner with engineers to keep architecture decisions, runbooks, and user guidance up to date.


• Maintain knowledge-sharing spaces across the team.


• Contribute to and enforce best practices for task management, project reporting, and change management.

Requirements

• 5+ years of experience in technical project, program, or product management roles


• Bachelor’s degree with a record of academic success


• Proven track record delivering multi-team technical projects with dependencies and fixed deadlines


• Hands-on experience running Agile (Scrum or Kanban) teams and working knowledge of the SDLC


• Working understanding of platform technology, including cloud platforms (AWS and/or Azure), identity and SSO, networking, APIs, CI/CD, and infrastructure-as-code


• Heavy daily use of LLM tools and understanding of core AI concepts (models, agents, MCP, token and cost optimization)


• Experience with project management and documentation tools (e.g., Jira, Confluence, Smartsheet)


• Experience in investment management, financial services, or another regulated industry preferred


• Agile or project management certification (e.g., CSM, PSM, CSPO, PMP) is a plus

Nice to Have

• Experience building or running an AI governance or technology-controls program (AI inventories, vendor intake, control testing, audit evidence)


• Familiarity with AI risk frameworks and regulatory expectations (e.g., NIST AI RMF, ISO/IEC 42001, SEC and FINRA guidance)


• Familiarity with enterprise AI administration and data-protection controls (e.g., enterprise admin settings, data-use and retention terms in AI vendor contracts)

Traits: proactive communicator; technically grounded; hands-on with AI; process- and detail-oriented; accountable; influential; collaborative.