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We're seeking a future team member for the role of Director, Technical Product Manager to join our AI Hub team. This is a strategic product leadership opportunity for an experienced technical product leader who can define vision, drive execution across complex initiatives, and shape AI-powered capabilities that improve how developers, designers, and builders work across the firm. In this role, you'll make an impact in the following ways:
- Drive product discovery, requirements definition, and execution discipline across the product lifecycle, while helping strengthen product practices and operating rigor across the AI Hub.
- Lead product 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.
- Define product vision, roadmap, prioritization, and execution plans for assigned domains, 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, adoption, and enablement planning for major releases, ensuring strong operational execution and sustained impact.
To be successful in this role, we're seeking the following:
- Bachelors degree in a technical related field, Engineering or CS degree, or equivalent work experience required
- Proven experience, preferably 10+ 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 stakeholder management, communication, and influencing skills, with experience operating effectively across a matrixed organization; familiarity with language model training, fine tuning, evaluation, or governance workflows is a plus
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BNY Mellon
Jul 11, 2026