Executive Tech VA – AI Voice & Automation
Confidential employer
Executive Tech VA – AI Voice & Automation
Job Type: Full-Time / Long-Term
Work Arrangement: Remote
Compensation: $1,500–$2,000 USD
Timezone: EST
About the Role
We are looking for a technically capable Executive Tech VA to support the implementation, optimization,
and ongoing management of AI-powered voice agents and automation systems for our clients.
This role is ideal for someone who is comfortable working with AI tools, automation platforms, CRMs,
and no-code/low-code systems. You do not need to be a software developer or traditional engineer. What
matters most is your ability to follow technical instructions, implement existing workflows, connect systems
together, troubleshoot issues, and ensure the final automation works reliably.
You will primarily work with AI voice agents that handle inbound and outbound calls, qualify leads, follow
scripts, handle objections, book appointments, and transfer qualified prospects to human team members.
This is intended to be a long-term technical fulfillment role, with opportunities to support additional AI
and automation projects as we continue to grow.
Key Responsibilities
1. AI Voice Agent Implementation
Deploy and configure AI voice agents using platforms such as Vapi or comparable tools such as
Retell AI.
Configure voice agents for:
Outbound lead follow-up
Inbound call answering
Missed-call handling
Website/on-site lead capture
Appointment booking
Lead qualification
Human/live-call transfers
Configure phone numbers, call routing, agent settings, and call flows.
Follow established implementation instructions and workflows to deploy agents efficiently.
2. Voice Configuration & Optimization
Configure AI voices using platforms such as ElevenLabs or PlayHT.
Adjust voice characteristics including accent, tone, gender, pacing, and conversational style.
Ensure the AI voice matches the client's brand and target audience.
Test voice performance and make adjustments based on call results and client feedback.
3. AI Script & Conversation Setup
Implement conversational scripts for AI voice agents.
Configure:
Lead qualification questions
Conversation flows
Objection handling
FAQs
Appointment-booking logic
Call-transfer conditions
Follow-up instructions
Use AI tools such as ChatGPT or Claude to help draft and refine scripts before implementing them
into the voice platform.
Ensure scripts are clear, natural, and aligned with the client's offer and sales process.
4. CRM & System Integration
Connect AI voice agents with the client's existing systems and CRM, which may include:
GoHighLevel
HubSpot
Salesforce
Calendly
Other CRM and scheduling platforms
Ensure important call information, lead details, appointment information, and outcomes are properly
passed between systems.
5. Automation & Workflow Implementation
Build, implement, and troubleshoot workflows using:
n8n
Make
Zapier
Examples include:
New lead → AI call → qualification → appointment booking
Missed call → AI voice agent → lead qualification → callback/transfer
New form submission → automated call → SMS backup → follow-up
Hot lead → AI qualification → live transfer to human
The primary focus will be on implementing and modifying existing workflows and technical
instructions, rather than developing complex software from scratch.
6. Lead & Outbound Systems
When outbound calling is required, help manage and connect lead sources such as:
----------
Instantly
GoHighLevel
Other lead-generation and outbound platforms
Ensure leads are properly routed into the appropriate calling and follow-up workflows.
7. Testing, QA & Troubleshooting
Before launching an AI voice agent, conduct thorough testing of the complete workflow.
Responsibilities include:
Testing inbound and outbound calls
Checking call routing
Testing lead qualification
Testing objection handling
Testing appointment booking
Testing SMS and callback workflows
Testing live transfers
Checking CRM updates
Identifying and resolving workflow errors
Escalating technical issues when necessary
8. Monitoring & Continuous Improvement
Monitor the performance of deployed AI voice agents and identify opportunities for improvement.
Track metrics such as:
Calls initiated
Calls answered
Call completion rates
Qualified leads
Meetings booked
Live transfers
Objection drop-off
Conversion performance
Workflow errors
Use performance data and client feedback to improve scripts, voice settings, workflows, and call flows over
time.
Required Qualifications
Experience working with AI tools, automation platforms, or technical systems.
Hands-on experience with at least some of the following:
n8n
Make
Zapier
GoHighLevel
Vapi
Retell AI
ElevenLabs
PlayHT
HubSpot
Salesforce
Calendly
Ability to follow technical instructions and implement existing workflows accurately.
Strong troubleshooting and problem-solving skills.
Comfortable working with integrations, triggers, webhooks, APIs, and automation logic.
Ability to understand how different systems connect and pass information between one another.
Strong attention to detail when testing technical workflows.
Ability to work independently and complete technical implementation tasks without constant
supervision.
Strong written communication and documentation skills.
Willingness to learn new AI tools and platforms quickly.
Important
You do not need to be a software developer.
We are looking for someone who can take an existing technical process or set of instructions and turn it
into a functioning workflow. You should be comfortable experimenting, troubleshooting, researching
solutions, and asking the right questions when something doesn't work.
Preferred Qualifications
Experience implementing AI voice agents using Vapi, Retell AI, or similar platforms.
Experience configuring ElevenLabs or PlayHT.
Experience building or modifying n8n workflows.
Experience with GoHighLevel and CRM automation.
Understanding of APIs, webhooks, HTTP requests, and JSON.
Experience connecting AI tools with CRMs and scheduling platforms.
Experience with lead-generation and outbound platforms such as Apollo or Instantly.
Experience working with agencies, startups, or multiple clients.
Previous experience in a Tech VA, Automation VA, AI Implementation VA, or Technical Support
role.
Compensation
$1,500–$2,000 USD/month
The compensation will be based on the candidate's technical experience, AI/automation capabilities, and
ability to independently implement and troubleshoot client workflows.
Key Performance Indicators (KPIs)
Success in this role will be measured primarily by the effectiveness, reliability, and successful
implementation of the AI voice agents and automation systems you create.
Key performance indicators include:
AI voice agents successfully deployed and functioning as intended.
Call flows operate reliably with minimal technical errors.
Leads are correctly captured, routed, qualified, and followed up.
Appointments are successfully booked through the AI agent.
AI agents appropriately handle common objections and conversation scenarios.
Qualified/hot leads are correctly transferred to human team members.
CRM and automation systems remain properly synchronized.
Issues are identified and resolved quickly.
AI voice performance improves based on testing, data, and client feedback.
Projects are completed accurately and within agreed timelines.
Ability to successfully implement additional AI and automation projects as they are assigned.
Long-Term Success
The goal is not simply to build an AI voice agent and move on.
We are looking for someone who can become a reliable, long-term technical fulfillment resource who can:
Implement → Test → Launch → Monitor → Troubleshoot → Optimize → Repeat
As additional client projects come in, there will be opportunities to take on more AI implementation and
automation work.
Ideal Candidate
The ideal candidate is someone who is:
Technically curious and enjoys figuring out how systems work.
Comfortable with AI and automation tools.
Able to follow technical instructions without needing everything explained step-by-step.
A strong problem solver who doesn't immediately give up when a workflow breaks.
Detail-oriented when testing integrations.
Comfortable learning new platforms quickly.
Able to communicate technical issues clearly to non-technical team members.
Proactive and willing to research solutions independently.
Interested in building a long-term career in AI implementation and automation.
You don't have to be a developer. You need to be a strong technical implementer who can make AI
and automation systems work
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