Go-To-Market Lead – AI Product Manager

Charlotte, NC, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Independent
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Product
  • GTM
  • Gen AI
  • Agentic AI
  • enterprise AI
  • LLM
  • agentic system

Summary

Job Title: Go-To-Market Lead – AI Product Manager

Location: Charlotte, NC (Onsite)

Job Type: Contract

Experience: 4+ years in AI; 3+ years in GTM, technical product, or forward-deployed engineering roles

Job Overview

 

Our client is seeking a highly technical, product-oriented, and customer-focused individual to drive adoption and delivery of Generative AI and agentic AI capabilities across the enterprise. This role blends Go-To-Market leadership with forward-deployed engineering — you'll work directly with business teams to prototype, build, and deploy AI-powered solutions in real-world workflows.

Key Responsibilities

 
  • Define and execute GTM strategies for enterprise AI platforms with emphasis on LLMs, agentic systems, and composable AI
  • Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools
  • Partner with business and engineering teams to design, prototype, and deploy GenAI/agentic solutions
  • Build hands-on demos, reference implementations, and rapid prototypes
  • Translate business problems into GenAI/agentic solution architectures using RAG, tool use, multi-agent orchestration, and memory frameworks
  • Establish feedback loops with end users to shape platform roadmap
  • Ensure adherence to responsible AI principles, model governance, and regulatory requirements

Required Skills

 
  • Generative AI, LLMs, and agentic system design
  • RAG architecture, embeddings, and vector search
  • Cloud platforms: Google Cloud Platform or Azure
  • Containerization: Docker, Kubernetes / OpenShift
  • Strong programming skills and API experience
  • GTM strategy and technical product leadership

Preferred Skills

 
  • Agent frameworks: LangChain, LangGraph, AutoGen, ADK, or similar
  • AI-assisted development tools: GitHub Copilot, Devin, Cursor
  • LLMOps: prompt/version management, evaluation, observability, guardrails
  • Experience building end-to-end AI applications from prototype to production
  • Stakeholder management and executive-level communication
  • Experience in large-scale enterprise or regulated industry environments

Location & Work Model

 

Onsite — Charlotte, NC

Engagement Details

 

This is an exciting opportunity to shape how a major enterprise adopts and scales cutting-edge AI capabilities. If you thrive at the intersection of technical depth and business strategy, we'd love to connect.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 112117-1090-1788455797
  • Posted 1 day ago
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