Strategist, Agent Development (Brazilian Portuguese speaking)
San Francisco, CA • FullTime
Posted 5d 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 clients, guiding them from initial pilot phases to handling thousands of daily conversations in production. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the end-users. You will transform complex business 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.
- 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 daily with customer working teams, facilitating working sessions, troubleshooting issues, and ensuring projects stay on track for launch.
- Identify and communicate unmet customer needs to the research and platform teams to influence future product development.
Requirements
- Demonstrated customer obsession with energy for engaging with customers, understanding their businesses, and building trusted relationships.
- Clear, direct, and persuasive communication skills, effective with both technical and non-technical audiences.
- Strong strategic problem-solving abilities with analytical and critical-thinking skills to navigate complex and ambiguous situations.
- Technical aptitude, including comfort with API documentation, data models, system architecture, and engineering tradeoffs.
- Proven track record of owning and delivering multiple complex, high-visibility projects.
- Genuine interest in Financial Services and improving end-customer experiences.
- Experience in financial technology, implementations at financial institutions, or familiarity with financial services security and compliance requirements is a strong plus.
- Experience building or deploying AI/LLM agents in production, including hands-on work with evaluation frameworks, agent tooling, RAG, and prompt engineering.
- Experience as a founder, founding team member, or operator, demonstrating an ability to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience, and/or an MBA or comparable experience at the intersection of technology and business.