Pryon

Product Manager, Generative AI

Pryon

full-time

Posted on:

Location Type: Remote

Location: New York • United States

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Salary

💰 $140,000 - $160,000 per year

About the role

  • Own the NL2SQL initiative in close partnership with Research, laying the foundation for how structured data is ingested, productized, and scaled across the platform
  • Ensure core generative and RAG services are portable-ready, scalable, and designed to operate across deployment environments
  • Partner closely with our orchestration tool to ensure seamless compatibility, and extensibility across agent workflows
  • Define how we operationalize MCP (Model Context Protocol) to enable reliable, composable agentic workflows
  • Own the health, reliability, and evolution of our underlying RAG and generative services, including quality, performance, and long-term extensibility
  • Act as the connective tissue across Research, Platform, and Applications to unblock and accelerate customer-facing AI experiences
  • Provide clear ownership and direction for platform capabilities that all downstream AI products and customer experiences depend on
  • Lead agile ceremonies including refinement, roadmap reviews, sprint planning, and stand-ups
  • Ensure on-time delivery of product features, enhancements and improvements
  • Define use cases, set requirements and acceptance criteria for features, utilizing an iterative approach to allow for measurement of success and adoption, and prioritization of enhancements
  • Own your roadmap and set prioritization for feature delivery from technical teams by synthesizing market research, customer and prospect data, customer needs, and internal/external stakeholder expectations
  • Demonstrate full knowledge of the development process in your area of focus and at times be a key contributor and mindful guide to engineers and scientists on the team
  • Interact with customers and market thought leaders to develop a deep understanding and define product requirements and best practices for an enterprise business problem
  • Author product specifications, inclusive of use cases, and activity flow diagrams; identify data sources, analytics, reporting, and integration requirements
  • Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 3-5 years of experience in product management or a related technical role.
  • 2 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML).
  • Exceptional written and verbal communication skills, with the ability to share technical knowledge and information across various audiences.
  • Demonstrated experience leading product, enterprise, or consumer communications at technology companies, including building communications functions or strategies from the ground up.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
NL2SQLMCP (Model Context Protocol)agile methodologiesproduct managementdata analyticsproduct specificationsfeature deliveryacceptance criteriaiterative approachAI or ML
Soft Skills
communication skillsleadershipcollaborationproblem-solvingcustomer interactiondirection settingstakeholder managementroadmap prioritizationteam guidancemarket research
Certifications
Bachelor's degree