Related skills
cloud infrastructure llms rag vector databases retrieval📋 Description
- Work with enterprise customers, sales, and solution architects to define product needs.
- Build and socialize a roadmap for context engineering on Elastic retrieval and AI Agents.
- Analyze the AI Agent market, players, and trends to shape strategy.
- Collaborate with data science and engineering to benchmark agent capabilities.
- Partner with design to improve UX for showing/refining agent context.
- Be the product expert and evangelize Agent Builder via blogs and open source.
🎯 Requirements
- 10+ years in product management or solution delivery for technical/cloud/platform products.
- AI/ML fluency: LLMs, RAG, vector databases, context engineering.
- Bias to action: move fast, learn from experiments, use AI tools.
- Leadership across a matrix org in a remote-first environment.
- Excellent communication: distill engineering for technical and exec audiences.
- Customer obsession: advocate for developers and solve real-world problems.
🎁 Benefits
- Competitive pay based on the work you do.
- Health coverage for you and your family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Donation matching up to 2000 (local currency).
- Up to 40 hours each year for volunteer projects.
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