Strategist, Agent Development - Travel, Transportation and Hospitality
San Francisco, CA • FullTime
Posted 5h ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Sierra is seeking an Agent Strategist to join their Travel, Transportation and Hospitality (TTH) team. This role sits at the intersection of product, agent building, and customer-facing work, transforming customer challenges into effective AI agents. You will own the entire Agent Development Life Cycle, from initial scope and conversation design to launch and continuous iteration in production. You will act as a trusted strategic advisor to enterprise leaders, understanding their business needs and shaping AI strategies to achieve success. Additionally, you will partner with customer working teams, troubleshoot agents, and directly impact product by feeding customer needs back to research and platform teams.
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 customer executives, understanding their business objectives and shaping AI strategies.
- Partner with customer working teams, run working sessions, troubleshoot agent issues, and ensure projects stay on track for launch.
- Surface unmet customer needs and feed them back to research and platform teams to influence future product development.
Requirements
- Customer obsession with genuine energy for engaging with customers, understanding their businesses, and building trusted relationships.
- Clear, direct, and persuasive communication skills across both technical and non-technical audiences.
- Strong analytical and critical-thinking skills for strategic problem-solving in ambiguous environments, identifying risks, and adapting to rapid changes.
- Technical aptitude, including comfort with reading API documentation, understanding data models and system architecture, and following engineering tradeoffs.
- Proven track record of managing multiple complex, high-visibility projects simultaneously and driving them to successful outcomes.
- Experience building or deploying AI/LLM agents in production.
- Hands-on experience with AI/LLM tools such as evaluation frameworks, agent tooling, RAG, and prompt engineering.