VP, Product Management (Agentic AI)

TL;DR

VP, Product Management (Agentic AI): Defining and driving the strategy for agentic AI products that enable enterprises to build reliable, context-aware AI applications with an accent on graph technology, LLM grounding, and RAG pipelines. Focus on solving the critical challenge of grounding models in accurate, connected, and explainable data while scaling a high-performing product management team.

Location: Remote (Must be based in the United States)

Salary: $340,000 – $460,000 USD

Company

A globally recognized leader in graph and AI innovation focused on enterprise-scale data challenges.

What you will do

• Define and own the product strategy for Agentic AI, including RAG, AI agents, and knowledge graphs.
• Lead, mentor, and scale a team of product managers to align roadmap execution with business priorities.
• Manage the end-to-end product lifecycle, translating customer needs and market trends into prioritized roadmaps.
• Partner with engineering, research, and GTM teams to deliver integrations with AI frameworks and cloud platforms.
• Shape GTM strategy in collaboration with sales and marketing for strong positioning and adoption.
• Serve as an external thought leader, representing the product vision at industry events and analyst discussions.

Requirements

• 8+ years of product management experience in developer platforms, data infrastructure, or AI-driven products.
• Strong hands-on understanding of LLMs, RAG pipelines, vector search, and AI agents.
• Technical fluency in graph data modeling, retrieval architectures, embeddings, and AI/ML pipelines.
• Proven ability to build product strategies from customer insights and market signals into business outcomes.
• Strong leadership and communication skills to align technical and non-technical stakeholders.
• Must be based in the United States.

Nice to have

• Experience with Python.
• Experience working with modern cloud ecosystems (AWS, GCP, Azure).

Culture & Benefits

• Competitive annual base salary and equity (stock options).
• Eligibility for annual bonus programs.
• Comprehensive health benefits including medical, dental, and vision coverage.
• 401(k) retirement plan with employer contributions.
• Paid time off and holiday policies.
• Exposure to cutting-edge AI and developer ecosystems at a global scale.