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Product Manager Linguistics

260312-South Florida Region Admin
Full-time
On-site
New York, United States
$118,750 - $200,000 USD yearly
Senior Product Manager
Description
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
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As a Product Manager in Machine Learning and Optimization team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
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As a Product Managerβ€”Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products. As a core leader, you are responsible for acting as the voice of the customer and developing a robust and scalable taxonomy to enable conversation dialogue, as well as a process and methodology for conducting conversation analysis. Utilizing your deep understanding computational linguists, Natural Language Understanding principles and AI-driven chatbot development, you will help guide the successful launch of conversational and model enhancements, gather crucial feedback, and ensure top-tier customer experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
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Job responsibilities

  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Manages intent and entity taxonomy and alignment with cross-functional teams across the Firm.
  • Manages conversational analysis in close partnership with Analytics team to identify patterns, anomalies, opportunities for improvement, leveraging conversation analysis methodologies
  • Partners closely with Annotation Lead to review and optimize training data
  • Collaborates, with Machine Learning engineers, data scientists and developers to integrate linguistic principles into development
  • Develops and maintains documentation on Natural Language Understanding processes, guidelines and best practices
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliabilityΒ 
  • Manage a team of linguists and conversation analysts

Required qualifications, capabilities, and skills

  • 5+ 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
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • 5+ years of experience in Natural Language Understanding and Natural Language Programming, specifically within context of chatbot development or related AI applications.
  • Excellent analytical and problem-solving skills.

Preferred qualifications, capabilities, and skills

  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Master’s or PhD in computational Linguistics, Data Science or related fields.