Deployment Strategist - LATAM
Deploys enterprise AI agent solutions by identifying customer use cases, shaping commercial engagements, guiding implementation, and driving production outcomes. The role requires technical customer-facing experience, Python and API proficiency, commercial judgment, and strong communication skills.
About the job
Responsibilities
- Meet with strategic customers to understand their AI transformation goals and identify pain points, particularly in customer-facing and operational workflows powered by AI agents.
- Own flagship deals end-to-end, from identifying use cases through structuring commercial terms and driving deals to close.
- Embed deeply with strategic customers, act as a trusted partner, and own delivery outcomes.
- Identify high-impact use cases and collaborate with Forward Deployed Software Engineers to implement them.
- Guide customers on best practices for deploying products such as ElevenAgents, including agent design, orchestration, and production readiness.
- Scope applications in new industries and expand AI solutions across sectors globally.
- Present project results and proposals to technical teams and C-suite executives.
- Collaborate with Research teams to feed field insights into the platform and models.
- Build and deliver demos of ElevenAgents and broader AI technology.
- Work with customer engineering and executive teams to bring agents to production and deliver measurable business outcomes.
Requirements
- 3+ years of experience working with customers in a technical capacity; direct enterprise customer experience preferred.
- Experience in product development, delivery, and change management.
- Commercial instinct and comfort with deal conversations, value propositions, and enterprise sales cycles.
- Basic proficiency in Python and familiarity with API integration.
- Excellent communication and problem-solving skills, including simplifying complex technical concepts and structuring clear logic.
- Track record of owning complex, ambiguous projects and delivering results.
- Adaptability across customer environments, industries, and technical use cases.
- Technical aptitude and familiarity with common LLM, tooling, and AI agent frameworks.
- Ability to map enterprise use cases and workflows to AI systems creatively.
- Mandarin and English proficiency.
Skills
Python, API Integrations, LLMs, AI Agents, Agent Design, Agent Orchestration, Product Development, Change Management, Enterprise Sales, Solution Delivery
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