Strategist, Agent Development
London • FullTime
Posted 1y 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-ready agents handling significant volumes of 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 user's needs. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.
Responsibilities
- Own the Agent Development Life Cycle, from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration.
- 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 through daily engagement, running working sessions, troubleshooting agents, and making decisions to keep projects on track.
- Identify and communicate unmet customer needs to research and platform teams to influence future product development.
Requirements
- Customer obsession with genuine energy for engaging with customers, understanding their businesses and needs.
- Ability to thrive in complex organizations and build trusted relationships.
- Clear, direct, and persuasive communication skills across technical and non-technical audiences.
- Strong analytical and critical-thinking skills for strategic problem-solving in ambiguous environments.
- Ability to adapt to rapidly changing situations and identify risks early.
- Technical aptitude to engage with technical concepts, read API documentation, understand data models and system architecture.
- Ability to follow engineering tradeoffs in design discussions.
- Proven track record of managing multiple complex, high-visibility projects simultaneously and driving them to successful outcomes.