Spec-product Dev/mgt

Verizon Verizon · Telecom · Hyderabad, India

Product development role focused on leveraging Generative AI and Agentic AI capabilities for the Consumer organization within Verizon. The role involves defining use cases, developing business cases, leading discussions on product strategy and vision for AI-powered experiences, and establishing operational processes and evaluation frameworks for Gen AI models and outputs. It requires collaboration with Data Science, AI&D, and other teams to refine prompts, evaluate model performance, and implement AI solutions like RAG and agentic workflows.

What you'd actually do

  1. Leading prototyping for system- and model- development for PS Gen AI capabilities with GTS and AI&D
  2. Establishing rigorous evaluation frameworks for Gen AI outputs to ensure experiences (like Bill Summaries) are accurate, empathetic, and jargon-free
  3. Synthesizing feedback loops specifically to identify edge cases for failures, translating these into technical requirements for the AI&D team
  4. Establishing operational processes with AI&D to maintain & improve accuracy of Gen AI models
  5. Leading discussions to align cross-functional team product strategy, roadmap, and product vision for Fios PS experiences and capabilities (ie. Bill Summary, Account Summary)

Skills

Required

  • Gen AI
  • Agentic AI
  • large-scale datasets
  • data pipelines
  • AI Data needs
  • collaborating with Data Science teams
  • refine system prompts
  • evaluate model outputs for accuracy, tone, and hallucination risks
  • managing products that utilize RAG
  • Agentic workflows
  • solve complex customer service inquiries

Nice to have

  • strategy
  • consulting
  • business transformation
  • product management/ strategy/ planning
  • technology management
  • telecommunications
  • high-tech businesses
  • enterprise-wide perspective
  • digital capabilities
  • advanced technologies and AI
  • telecommunications industry
  • complex, changing, dynamic environment
  • multiple domains, industries, and geographies

What the JD emphasized

  • Good knowledge on Gen AI, Agentic AI
  • Hands-on experience collaborating with Data Science teams to refine system prompts and evaluate model outputs for accuracy, tone, and hallucination risks.
  • Proven track record of managing products that utilize RAG (Retrieval-Augmented Generation) or Agentic workflows to solve complex customer service inquiries.
  • Establishing rigorous evaluation frameworks for Gen AI outputs
  • Leading prototyping for system- and model- development for PS Gen AI capabilities

Other signals

  • Gen AI models
  • Agentic AI
  • RAG
  • Agentic workflows
  • evaluating model outputs
  • operational processes for Gen AI models
  • evaluation frameworks for Gen AI outputs