SWI

SWI

Sr. Product Manager - AI Insights & Agentic AI

Dallas, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 79 days ago
Machine LearningAgentic AIProduct ManagementProduct Strategy

About the role

  • Communicate product vision, roadmap, and progress to stakeholders.
  • Experience working with cross-functional teams in large organizations.

Responsibilities

  • The role involves translating customer and business needs into AI-powered product features that improve customer experience and drive business growth.
  • You will work closely with product, engineering, IT, sales, and operations teams to design, build, and deliver scalable AI solutions across enterprise products.
  • Lead product discussions and guide technical decision-making using data-driven insights.
  • Build end-to-end product plans including design, development, testing, and delivery.
  • Manage cross-functional execution and ensure timely delivery of product initiatives.
  • Work with APIs and system integrations to build connected, enterprise-grade AI solutions.
  • Proven ability to deliver end-to-end product initiatives and drive business impact.

Requirements

  • Requirements 6+ years of experience in Product Management or Technical Program/Product roles.
  • Experience with AI/ML, data-driven products, or complex technical systems.
  • Good to Have Experience with enterprise or telecom products.
  • Strong ability to break down complex problems into actionable product solutions.

Nice to have

  • Experience with enterprise or telecom products.
  • Strong analytical and data-driven decision-making skills.
  • Experience launching new digital or AI-based products.
  • Understanding of APIs, integrations, and cloud-based platforms.
  • Background in Engineering, Computer Science, or MBA.

Benefits

  • You will lead the development of AI-driven products within the Companies Business Group, focusing on AI Insights, Machine Learning, and emerging Agentic AI capabilities.

This listing is sourced directly from SWI's careers page and normalized into a canonical job model.