Agent Strategist
South Korea • FullTime
Posted 20d ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production environments handling significant conversation volumes. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the people it serves. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.
Responsibilities
- Own the entire Agent Development Life Cycle, from initial scope and conversation design to tooling, evaluation, launch, and continuous iteration in production.
- Translate business goals into high-performing AI agents and relentlessly tune them for optimal real-world performance.
- Serve as a trusted strategic advisor to enterprise leaders, understanding their business objectives and shaping AI strategies to achieve them.
- Partner with customer working teams on a day-to-day basis, running working sessions and troubleshooting agent issues.
- Surface unmet customer needs to research and platform teams to influence future product development.
- Define and implement evaluation metrics and quality standards for new agents to drive measurable outcome improvements.
Requirements
- Demonstrated customer obsession with energy for understanding customer businesses and needs, thriving in complex organizations, and building trusted relationships.
- Strong communication skills in English and Korean, capable of clear and persuasive interaction with both technical and non-technical audiences.
- Strategic problem-solving abilities with strong analytical and critical-thinking skills to address complex issues and adapt to rapid changes.
- Technical aptitude to engage with technical concepts, read API documentation, understand data models and system architecture, and follow engineering trade-offs.
- Proven track record of managing multiple complex, high-visibility projects simultaneously and driving them to successful outcomes.