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Product Director Speech and Voice AI​/ML

Job in Seattle, King County, Washington, 98101, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below

Senior Product Manager

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

As 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

  • 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.
  • Drive business development by creating and executing a comprehensive commercial plan aimed at growing adoption and pursuing significant commercial impact.
  • Excel in strategic product thinking and execution, from thinking creatively and making the right bets to managing requirements and being responsible for product outcomes.
  • Effectively communicate your vision to management, stakeholders, and users. Develop and maintain a clear product strategy and roadmap.
  • Design metrics and KPIs to measure feature/product success, ensuring your team and stakeholders understand what success looks like and how it's measured.
  • Test new features, approve launches, and engage stakeholders early through previews and pilots.
  • Design and develop launch/roadshow content, and work with stakeholders to create platforms to showcase new capabilities and measurable value.
  • Collect user testimonials and feedback on a regular basis, iterating the product to create ongoing business value.
  • 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

  • 8+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Advanced knowledge of the product development life cycle, design, and data analytics.
  • Strong grasp of financial markets, organizational business functions, cross-functional financial business operations, and interdependencies across business units.
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
  • 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.
  • 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).
  • Ability to convert ambiguous needs into scalable business solutions. Your solutions are driven by logic, reason, and empirical observations.
  • Strong team player who can skillfully collaborate across a cross-functional team to drive outcomes.
  • Exceptional communication skills, enabling you to represent the product effectively with senior stakeholders and influence key decision-makers.

Preferred qualifications, capabilities, and skills

  • Demonstrated prior experience working in a highly matrixed, complex organization.
  • Experience in operations, front office, or consulting within financial markets is a plus.
  • Practical knowledge of JIRA to manage execution and build roadmaps.
  • Comfortable using tools like Figma, Miro, or Zeplin for running design-thinking sessions.
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