Product Director Speech and Voice AI/ML
JPMorgan ChaseAs a Senior Product Manager in the Speech and Voice AI/ML Team, you will be responsible for a high-impact product domain that is experiencing rapid growth and will have a unique opportunity to shape the future of voice-enabled Applied AI as well as the future of banking. You will navigate an incredibly complex domain, innovate quickly, and ship products with the highest standards of reliability.
Job responsibilities
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Build strong, strategic relationships with clients across the firm; you are highly collaborative, can influence senior stakeholders and interface successfully between clients, technology, and data science.
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Drive business development by creating and executing a comprehensive commercial plan aimed at growing adoption and pursuing significant commercial impact.
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Excel in strategic product thinking and execution, from thinking creatively and making the right bets to managing requirements and being responsible for product outcomes.
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Effectively communicate your vision to management, stakeholders, and users. Develop and maintain a clear product strategy and roadmap.
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Design metrics and KPIs to measure feature/product success, ensuring your team and stakeholders understand what success looks like and how it’s measured.
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Test new features, approve launches, and engage stakeholders early through previews and pilots.
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Design and develop launch/roadshow content, and work with stakeholders to create platforms to showcase new capabilities and measurable value.
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Collect user testimonials and feedback on a regular basis, iterating the product to create ongoing business value.
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Champion and drive adoption of AI-native ways of working within the product team, embedding AI-assisted discovery, experimentation, and evaluation into day-to-day product development.
Required qualifications, capabilities, and skills
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8+ years of experience or equivalent expertise in product management or a relevant domain area.
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Advanced knowledge of the product development life cycle, design, and data analytics.
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Strong grasp of financial markets, organizational business functions, cross-functional financial business operations, and interdependencies across business units.
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Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
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Experience in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
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Experience working on projects involving the ML development lifecycle (MDLC), including annotation, model training, model serving, scoring, pre/post-processing, productionization, feedback capture, and model governance (legal, compliance, risk).
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Ability to convert ambiguous needs into scalable business solutions. Your solutions are driven by logic, reason, and empirical observations.
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Strong team player who can skillfully collaborate across a cross-functional team to drive outcomes.
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Exceptional communication skills, enabling you to represent the product effectively with senior stakeholders and influence key decision-makers.
Preferred qualifications, capabilities, and skills
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Demonstrated prior experience working in a highly matrixed, complex organization.
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Experience in operations, front office, or consulting within financial markets is a plus.
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Practical knowledge of JIRA to manage execution and build roadmaps.
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Comfortable using tools like Figma, Miro, or Zeplin for running design-thinking sessions.