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Go-To-Market Lead – AI Product Manager

InfiCareCharlotte, NC🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This role offers an exciting opportunity to shape the adoption of cutting-edge AI technologies within an enterprise, leveraging your expertise in Generative AI and Go-To-Market strategies. You'll thrive here if you're a technically adept product leader passionate about building and deploying innovative AI solutions, and you're encouraged to apply to make a significant impact.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Charlotte, NC, United States
Posted
20 hours ago
Stakeholder Management

Job Description

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.

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