Define the vision and develop the long-term product strategy and roadmap for BNY’s developer-facing AI capabilities, including generative AI-powered tools that transform software engineering practices
Lead cross-functional collaboration with Engineering, DevEx teams, and BNY’s AI Hub to build impactful solutions that supercharge BNY’s global developer community
Drive product discovery efforts to deeply understand developer pain points and identify valuable automation and augmentation opportunities
Own the strategy behind both internally developed AI capabilities and vendor AI tools that augment the developer experience
Evangelize the vision and secure buy-in from senior technology and business stakeholders across the organization
Define success metrics and partner with analytics teams to measure adoption, performance, business impact, and customer sentiment
Stay current on trends in Generative AI, Developer Experience, and MLOps, incorporating emerging capabilities into the product roadmap
Requirements
Bachelor's degree in business management, Finance or a related discipline, or equivalent work experience required
10-12 years of experience in product management, with a focus on internal platforms, developer tools, or infrastructure
Strong technical literacy with the ability to partner directly with engineers and understand modern software development practices
Proven track record of delivering impactful internal products that solve real engineering problems at scale
Exceptional communication, stakeholder management, and cross-functional collaboration skills
Passion for emerging technologies and a pragmatic mindset about their application in large-scale enterprise settings
Experience mentoring or managing less senior members of the product community
Familiarity with large language models (LLMs), prompt engineering, or GenAI-powered developer tools (preferred)
Experience working on Developer Experience (DevEx), Developer Relations (DevRel), or Platform Engineering teams (preferred)
Deep knowledge of DevEx measurement strategies, including SPACE-like survey design and DORA metrics (preferred)
Prior experience building or scaling AI/ML-powered internal products (preferred)
Strong understanding of secure SDLC, CI/CD pipelines, or enterprise software development ecosystems (preferred)
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