Program Manager

W2 onlyProject & Program Manager (LangChain & Open AI)Max Rate: $60-62/hr.w2Location: Open to remoteExperience• 5–8 years in technical program management, product management, or engineering delivery roles• At least one full life cycle implementation of programs that include AI/ML, LLM-based, or data-intensive products in production• Demonstrated experience working with marketing, growth, or content teams as primary stakeholders• Track record of shipping complex, multi-dependency programs on schedule in an agile environment• Experience in marketing technology, adtech, e-commerce, or a consumer-facing product organization strongly preferredThe Role in One SentenceYou sit at the intersection of marketing, product, and engineering — translating business goals for campaign generation into clear technical deliverables, managing cross-functional execution across AI/ML and data teams, and ensuring the marketing operations is optimized to expedite campaign planning and execution efforts and significantly improve the Go-To-Market speed.The Marketing Operations AI Agent stack includes:• LangChain / LangGraph for orchestrating multi-step agent workflows• Elastic as the vector database powering semantic retrieval and campaign content search• Data ingestion pipelines that feed brand assets, campaign history, product data, and audience segments into the agent• Prompt engineering layers that translate business campaign briefs into structured LLM instructions• LLM APIs (OpenAI / Gemini) for voice handling, campaign management• Future integration with other marketing operation tools in the ecosystem such as Adobe, Workato, and more.But components don't upgrade or maintain the AI Agent. Someone needs to orchestrate and manage the process from requirements to final AI Agent releases, and drive every workstream — from data ingestion to UAT — to a production-ready outcome. That person is the Technical Program Manager.Required QualificationsTechnical Fluency (Must-Have)You don't need to build these systems. You need to understand them well enough to ask the right questions, recognize when something is wrong, and communicate trade-offs to non-technical stakeholders.