Partner Solution Engineer - Zoom Virtual Agent
ZoomRemote (US)Posted 31 March 2026
Job Description
ZVA Partner Solution Engineer
About the Role
We’re looking for a ZVA Partner Solution Engineer to lead technical enablement for Zoom Virtual Agent (ZVA) across Zoom’s partner ecosystem. This role is for someone who genuinely understands Generative AI in CX —not just how it works, but how it’s actually deployed in contact centers, workflows, and customer-facing experiences.
Your primary responsibility is to equip Zoom partners to confidently design, position, and deploy Zoom Virtual Agent solutions . You’ll turn complex GenAI concepts into partner-ready architectures, demos, labs, and technical guidance that scale across real-world customer environments.
If you know how LLMs, RAG, and agentic workflows show up in production CX systems—and can explain that clearly to partners—this role is for you.
What You’ll Do
Primary Focus: Partner Enablement & Content Creation
Own technical enablement for Zoom Virtual Agent within the Zoom partner community
Create and maintain partner-facing technical content , including:
Solution guides and reference architectures
Demo flows and lab exercises
Deployment best practices and design patterns
Troubleshooting and escalation playbooks
Translate GenAI concepts into clear, repeatable partner guidance aligned to Zoom’s roadmap
Continuously evolve enablement content as ZVA and underlying AI capabilities advance
ZVA Solution Strategy (Zoom-Centric)
Act as a subject-matter expert for Zoom Virtual Agent within Zoom Customer Experience
Design and document AI-powered solutions using:
Conversational AI and virtual agents
RAG-based knowledge grounding
Agent handoff, escalation, and orchestration patterns
Clearly articulate how ZVA works , where it adds value, and how it integrates into broader CX workflows
Guide partners on responsible AI usage, data handling, and governance in ZVA deployments
Partner-Facing Technical Leadership
Serve as a trusted technical advisor to Zoom CX and AI-focused partners
Lead partner workshops, deep dives, office hours, and bootcamps focused on ZVA
Support partner pre-sales efforts through architecture validation, demos, and solution design
Enable partners to independently deliver ZVA projects with minimal Zoom dependency
Market & Competitive Insight
Maintain strong awareness of AI trends in CX , including virtual agents, agent assist, and automation
Help partners understand where ZVA fits and wins in competitive CX conversations
Provide field feedback to Zoom Product and Enablement teams to influence roadmap and positioning
What You Bring
Required Experience
4 years of experience in technical pre-sales, solutions engineering, or AI consulting role for SaaS/AI products.
Strong understanding of GenAI concepts (LLMs, RAG, agentic AI) and how to embed AI in business workflows.
Have good prompt engineering skills and knowledge, understanding how different frontier models behave.
Working knowledge of RESTful API integration principles, including authentication methods, JSON payloads and common integration patterns.
Strong verbal and communication skills and be comfortable in creating and delivering technical presentations and product demonstrations.
A passion for enabling partner success through technical excellence, empowering partners with the knowledge, tools, and confidence to effectively position, sell, and deploy our solutions.
Desired Experience
The candidate should have experience in supporting or enabling technology partners through technical documentation, solution guide, or reference architectures.
Hands-on experience implementing generative AI solutions using platforms such as OpenAI, Azure OpenAI, Google or Similar providers.
Experience integrating AI into enterprise platforms such as contact center systems, CRM platforms, or workflow automation solutions.
Prior experience supporting contact center use cases such as virtual agents, chatbots, agent assist, or conversational AI solutions is strongly preferred.
Bonus Points
Exper ... (truncated, view full listing at source)
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