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elasticsearch rag opensearch llm solr📋 Description
- Lead Enterprise Retrieval team blending software and AI engineers to ground Workato’s AI agents.
- Own the team charter, roadmap, and outcomes, partnering with Product, Security, and leadership.
- Balance hands-on architecture with people leadership to ship outcomes.
- Focus on retrieval: embeddings, RAG quality, re-rankers, LLM query understanding.
- Collaborate across the org; output touches most AI agents at Workato.
🎯 Requirements
- 5+ years engineering management; 2+ years managing managers or 8+ engineers.
- Proven shipping complex systems to production (search/retrieval, ML/AI).
- Experience leading mixed software and AI teams to compound value.
- Strong hiring: built teams from scratch or scaled them.
- Comfort with ambiguity; partner with Product on what to build.
- Hands-on background in retrieval/AI and system design.
🎁 Benefits
- Flexible, trust-oriented culture.
- Vibrant, dynamic work environment.
- Multitude of benefits.
- Opportunity to impact enterprise AI at scale.
- Work with leading enterprise AI teams.
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