Related skills
microservices rag tooling llm retrieval-augmented generation📋 Description
- Design the Twilio Brain: lead backend aggregating docs, tickets, and logs.
- Drive proactive engagement: define AI nudges and real-time triggers.
- Omnichannel orchestration: maintain memory and personality across Console, SMS, Slack.
- Optimize agent accuracy: establish RAG and fine-tuning for accurate advice.
- Cross-functional integration: partner with Product, Engineering, and Growth.
- Performance & reliability: manage LLM latency and infra costs for real-time responses.
🎯 Requirements
- Extensive Experience: 8+ years of Product Management in backend/automation.
- Contextual AI Expertise: build AI systems using contextual data for personalized assistance.
- Experience with RAG & Tooling: building RAG pipelines and giving agents tools.
- Growth-Oriented Mindset: use AI to drive metrics like time-to-first-hello and churn reduction.
- Technical Acumen: design backend systems for high-concurrency AI with data privacy.
- Storytelling & Influence: persuade teams to integrate centralized AI services.
🎁 Benefits
- Competitive pay
- Generous time off
- Parental and wellness leave
- Healthcare
- Retirement savings program
- Equity plan and corporate bonus program
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