Strategist, Agent Development (Flemish speaking)
London • FullTime
Posted 8d 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-level deployment handling thousands of daily conversations. 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.
- Collaborate with customer working teams daily, facilitating working sessions, troubleshooting agent issues, and ensuring timely launch progress.
- Identify and communicate unmet customer needs to the research and platform teams to influence future product development.
Requirements
- Demonstrate genuine customer obsession, with energy for engaging with customers, understanding their businesses, and building trusted relationships within complex organizations.
- Possess strong communication skills, able to convey information clearly and persuasively to both technical and non-technical audiences.
- Exhibit strategic problem-solving abilities in ambiguous environments, with strong analytical and critical-thinking skills to tackle complex issues and adapt to rapid changes.
- Show technical aptitude, including comfort with technical concepts, reading API documentation, understanding data models and system architecture, and participating in engineering tradeoff discussions.
- Have a proven track record of ownership and delivery, successfully managing multiple complex, high-visibility projects simultaneously.