GTM Lead

This is a hybrid GTM + Forward-Deployed Engineering role focused on driving the adoption of Generative AI and Agentic AI solutions across the enterprise. The ideal candidate must balance strategy, stakeholder management, technical product leadership, and hands-on coding/prototyping.

Go-To-Market Leadership: Define and execute AI platform adoption strategies, drive enterprise usage of LLMs, agent frameworks, APIs, and orchestration platforms.
Forward-Deployed Engineering: Build prototypes, demos, proof-of-concepts, and production-ready AI solutions while working directly with business teams.
AI Solution Architecture: Design RAG systems, vector search, multi-agent systems, tool-calling workflows, and memory frameworks.
Developer Enablement: Conduct workshops and create SDKs, prompt libraries, templates, reusable components, and playbooks.
Stakeholder Engagement: Present AI concepts and business outcomes to executives and leadership teams.
Responsible AI & Governance: Ensure compliance with security, risk, regulatory, and Responsible AI standards.

4+ years of AI experience.
3+ years in GTM leadership, technical product management, solution engineering, or forward-deployed engineering.
Hands-on GenAI/LLM development experience.
Strong programming background.
Experience with Azure or Google Cloud Platform and container technologies such as Docker and Kubernetes/OpenShift.

Generative AI: LLMs, Prompt Engineering, Embeddings, Vector Databases, and RAG.
Agentic AI: LangChain, LangGraph, AutoGen, ADK, CrewAI.
LLMOps: Evaluation, observability, guardrails, and prompt versioning.
AI Development Tools: GitHub Copilot, Cursor, Devin, and similar platforms.