Agentic & GenAI Go-To-Market Lead

About the role

This role sits at the intersection of product, engineering, and go-to-market (GTM) and is designed for a hybrid leader builder: someone who not only shapes strategy but also gets hands-on building prototypes, coding solutions, and rapidly demonstrating value.

Responsibilities

• Define and execute GTM strategies for enterprise AI capabilities, with emphasis on LLMs, agentic systems, and composable AI platforms
• Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools through targeted enablement and engagement
• Lead feature launches and platform rollouts, translating technical capabilities into clear business value narratives
• Partner directly with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions
• Build hands-on demos, reference implementations, and rapid prototypes that showcase Platform Capabilities in Real-world Use Cases
• Engage in pair programming, debugging, and solution development, accelerating time from concept to production
• Leverage tools such as GitHub Copilot, Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate
• Lead workshops, office hours, and hands-on sessions focused on building with LLMs, RAG architecture, and agentic workflows
• Develop scalable enablement assets (SDKs, playbooks, reusable components, prompt libraries, agent templates)
• Improve developer experience and time-to-value by identifying friction points and driving improvements across tooling and documentation
• Translate business problems into GenAI and agentic solution architectures, incorporating patterns such as RAG, tool use, multi-agent orchestration, and memory frameworks
• Partner with platform teams to define reusable design patterns, accelerators, and reference architectures
• Stay at the forefront of GenAI, agentic systems, LLMOps, and emerging AI-native development paradigms
• Establish tight feedback loops with end users to shape platform roadmap and prioritize enhancements
• Capture insights across deployments to inform improvements in usability, performance, and scalability of AI solutions
• Champion a customer-first, experimentation-driven culture across AI initiatives
• Communicate complex AI concepts clearly to both technical and non-technical audiences
• Deliver executive-ready updates highlighting adoption, business impact, and innovation outcomes
• Ensure adherence to responsible AI principles, model governance, data security, and regulatory requirements
• Collaborate with risk, compliance, and security teams to operationalize safe and compliant AI deployments

Requirements

• 4+ years of experience in Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years in go-to-market leadership, technical product, solution engineering, or forward-deployed engineering roles
• Hands-on experience building with GenAI/LLMs and agent-based systems, including rapid prototyping and deployment
• Strong programming skills and experience working with modern development stacks and APIs
• 3+ years of experience with cloud platforms (GCP or Azure) and containerization (Docker, Kubernetes/OpenShift)

Desired Qualifications

• Deep expertise in Generative AI and agentic architectures, including: LLMs, RAG, embeddings, vector search, Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar), Tool use, orchestration, and multi-agent systems
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Devin, Cursor) to accelerate innovation and delivery
• Strong familiarity with LLMOps practices: prompt/version management, evaluation, observability, guardrails
• Experience building end-to-end AI applications, from prototype to production
• Proven ability to build demos, prototypes, and customer-facing solutions that drive adoption
• Experience in large-scale enterprise environments, preferably in regulated industries
• Strong communication and stakeholder management skills with ability to influence senior leaders
• Ability to operate as both a strategic leader and hands-on builder

Benefits

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Pay

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Schedule

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