Director, POM Technical Product Management, AI Hub

慨正橡扯; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

BNY Mellon is looking for a Director, Technical Product Manager to join our AI Hub team in New York, NY. This senior role focuses on leading product strategy for critical AI-powered capabilities and driving execution across complex initiatives.

The ideal candidate will have a Bachelor's degree in a technical field and substantial experience in product management, especially in AI systems. Strong leadership and stakeholder management skills are essential for success in this role.

Qualifications

• 3-5 years in a technical/engineering role and subject matter expert.
• 10-12+ years of product management experience.
• Experience with building technical products from ideation to launch.

Responsibilities

• Lead product strategy for AI-powered capabilities within Eliza.
• Collaborate with engineering, design, and cross-functional teams.
• Drive product launch and market adoption planning.

Skills

Product management

Leadership

Stakeholder management

Technical understanding

AI ecosystem knowledge

Education

Bachelor's degree in Engineering or Computer Science

Job description

We're seeking a future team member for the role of Director, Technical Product Manager (Group Product Lead) to join our AI Hub team. This role is located in New York, NY.

This is a senior product leadership opportunity for an experienced technical product leader who can lead product strategy for critical AI-powered capabilities, drive execution across complex initiatives, and help shape the product direction for tools that improve how developers, designers, and builders work across the firm.

Responsibilities

• Lead product development and strategy for large and/or complex AI-powered capabilities within Eliza, our central AI platform, with ownership of core product areas that support developers, designers, and builders.
• Direct the overall product strategy for assigned domains, including roadmap definition, prioritization, and execution, ensuring alignment with business goals, user needs, and platform objectives.
• Serve as a thought leader and subject matter expert within the product management team and across the organization, influencing product direction for innovative and business-critical capabilities.
• Collaborate closely with engineering, design, and cross-functional stakeholders to drive delivery, resolve tradeoffs, and translate complex technical opportunities into clear product plans and measurable outcomes.
• Lead product launch, go-to-market, adoption, and enablement planning for major releases, ensuring strong operational execution and sustained impact.
• Help develop product management talent and strengthen team practices, while contributing to budgeting, resource planning, and the broader product operating model for the AI Hub.

Qualifications

• Bachelor's degree in a technical related field, typically Engineering or CS degree, or equivalent work experience required.
• 3-5 years of experience in a technical/engineering role and SME on the technology.
• Proven experience, preferably 10-12+ years, in product management, including building and scaling technical products from ideation and discovery through launch, adoption, and ongoing enhancement.
• Deep knowledge of technical product management, modern AI systems, and product strategies that support the software development lifecycle, internal platforms, and enterprise user experiences.
• Strong understanding of the AI ecosystem, including model providers, enterprise AI platforms, and how AI products integrate into engineering workflows, developer tooling, and operational processes.
• Experience leading complex product areas in close partnership with engineering and design teams, with the ability to translate technical concepts into clear strategy, roadmaps, priorities, and execution plans.
• Strong leadership, stakeholder management, and communication skills, with experience influencing across a matrixed organization; familiarity with language model training, fine tuning, evaluation, or governance workflows is a plus.