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python rag langchain llamaindex vector search๐ Description
- Strategic Product Ownership: Define AI strategy and key use cases (RAG, knowledge graphs)
- Team Leadership: Lead and mentor PMs focused on AI, aligning roadmap with outcomes
- End-to-End Product Lifecycle: Drive lifecycle from discovery to launch and iteration
- Cross-Functional Collaboration: Partner with Engineering, Field, and Research on graph + AI features
- Go-to-Market Strategy: Shape positioning, packaging, and launch motions for builders and enterprise buyers
- Customer & Community Engagement: Engage customers and developers to learn practices and remove friction
๐ฏ Requirements
- Proven Product Leadership: 8+ years in product management; 3+ years in senior roles; dev-focused or data infra preferred
- Deep AI Ecosystem Knowledge: Experience with LLMs, RAG, vector search, or AI agents
- Strong Technical Acumen: Graph data modeling, embeddings, ML pipelines; Python a plus
- Customer Focus: Uses qualitative and quantitative signals to drive decisions
- Exceptional Communication & Influence: Align stakeholders and convey complex concepts
- Platform Experience: Developer adoption of AI tooling in data platforms
- Modern Data Ecosystem Familiarity: AWS/GCP/Azure and data warehouses, ML platforms, orchestration
- Education: Bachelor's or Master's in CS/Engineering or related field
๐ Benefits
- Stock option grant eligibility
- Annual bonus eligibility
- Medical, dental, and vision benefits
- 401(k) retirement plan
- Paid time off
- Leaves of absence
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