Production AI Deployment Lead

Zoom; Augusta (ME); Hybrid; USD 124,000 - 271,000; Full time

Job summary

Zoom is seeking a tech leader to collaborate across Sales, Product, and Engineering to deploy production AI agents for strategic customers within 90 days, accelerating revenue and shaping the product roadmap. You will work hands-on with voice AI, integrations, and real customer data in a hybrid/remote environment.

The role involves turning field insights into scalable platform capabilities, partnering with teams to prove value and ensure deployments accelerate future work.

Qualifications

• 4+ years in customer-facing technical roles shipping SaaS or AI/ML solutions.
• Deploy LLM-based agents with tool usage, multi-step orchestration, and guardrails in production.
• Voice tech experience including ASR, TTS, turn-taking, and barge-in across providers.

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

Customer-facing tech roles

SaaS/AI ML solutions

Python

TypeScript/Go

Tools

CRMs

Job description

Zoom is seeking a tech leader to collaborate across Sales, Product, and Engineering to deploy production AI agents for strategic customers within 90 days, accelerating revenue and shaping the product roadmap. You will work hands-on with voice AI, integrations, and real customer data in a hybrid/remote environment.

The role involves turning field insights into scalable platform capabilities, partnering with teams to prove value and ensure deployments accelerate future work.