AI Deployment Strategist

Summary

Zoom is an enterprise collaboration platform offering products including Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. The AI Deployment Strategist deploys production AI agents for strategic customers, partners with Sales, Product, and Engineering, and translates field insights into scalable product capabilities. The role focuses on voice AI, enterprise integrations, evaluation frameworks, and transitioning successful pilots into ongoing operations.

Responsibilities

• Designing and deploying production-ready AI agents during proof-of-concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScript
• Engineering voice experiences by tuning speech synthesis, turn-taking, and barge-in across providers to match customer requirements and call profiles
• Building evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gates
• Capturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilities
• Transitioning successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operation

Skills

• 4+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar)
• Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments
• Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar)
• Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems such as CRMs and telephony platforms
• Write tests, log failures, and iterate against measurable targets to validate agent performance before go-live
• Communicate technical concepts to business and engineering stakeholders with clarity and confidence
• Bring contact centre domain knowledge (Genesys, Five9, NICE, Zoom Contact Center) or experience with AI agent platforms (Decagon, Sierra, or similar)
• Contribute to voice agent benchmarks, open-source projects, or have experience deploying in regulated industries (healthcare, financial services, telecom)

Qualifications

Must Haves

• 4+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar)
• Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments
• Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar)
• Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems such as CRMs and telephony platforms
• Write tests, log failures, and iterate against measurable targets to validate agent performance before go-live
• Communicate technical concepts to business and engineering stakeholders with clarity and confidence
• Bring contact centre domain knowledge (Genesys, Five9, NICE, Zoom Contact Center) or experience with AI agent platforms (Decagon, Sierra, or similar)

Nice to Haves

• Contribute to voice agent benchmarks, open-source projects, or have experience deploying in regulated industries (healthcare, financial services, telecom)

Benefits

• Structured hybrid approach centered around offices and remote work environments.
• Opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.