Experience: 2–3 years
Department: Sales / Solutions Engineering
About Us
At Emvo.ai, we are building enterprise-grade AI products that help companies automate customer conversations, deploy intelligent voice agents, streamline workflows, and transform business operations using next-generation AI.
We work at the intersection of:
AI Voice Agents
Conversational AI
Enterprise Automation
LLM-powered workflows
Agentic AI systems
Customer experience automation
We are looking for a Pre-Sales Engineer who can bridge the gap between technical capability and customer business needs.
Role Overview
As a Pre-Sales Engineer , you will work closely with enterprise sales teams and prospective customers to understand business problems, design AI-led solutions, demonstrate product capabilities, and help customers visualise how our AI platform can solve their challenges.
You will be the technical face of the company during the sales cycle.
This role requires someone who can speak business + technology fluently .
Key Responsibilities1. Discovery & Solution Consulting
Work with enterprise prospects to understand:
Current business workflows
Customer support processes
Sales automation requirements
Contact center challenges
Voice automation opportunities
Process automation use cases
Translate business problems into AI solutions.
2. Product Demonstrations
Lead product demos showcasing:
AI Voice Agents
Outbound AI calling workflows
Conversational AI systems
Workflow automation
Customer support automation
AI-powered enterprise copilots
Customise demos based on customer use cases.
You should be able to explain both:
Business value
Technical architecture
3. Solution Design
Design custom AI solutions for prospects.
This includes:
Use case mapping
Workflow design
AI architecture discussions
API integration planning
Deployment architecture
Enterprise implementation planning
Create solution documents for enterprise clients.
4. Technical Sales Support
Support enterprise sales teams by helping with:
Technical objections
Product capability discussions
Security questionnaires
Compliance discussions
Integration feasibility assessments
RFP and RFQ responses
Proof of concept planning
5. Proof of Concept (POC) Ownership
Design and manage customer POCs.
Responsibilities include:
Defining success criteria
Working with engineering teams
Configuring customer-specific demos
Running test scenarios
Measuring business impact
Presenting outcomes to stakeholders
6. Customer-Facing Technical Communication
Interact with:
CTOs
CIOs
Heads of Customer Experience
Contact Center Leaders
Digital Transformation Teams
Product Teams
Operations Leaders
Translate complex AI concepts into business language.
Skills RequiredTechnical Understanding
Good understanding of:
APIs and integrations
SaaS architecture
Cloud deployment
Enterprise software architecture
Conversational AI systems
Voice AI systems
LLM applications
Automation workflows
Awareness of technologies like:
OpenAI APIs
Anthropic
Webhooks
REST APIs
CRM integrations
Contact center systems
Business Skills
Solid ability to:
Run enterprise discovery calls
Understand customer pain points
Present business value clearly
Handle technical objections
Build executive-level presentations
Support enterprise sales cycles
Communication Skills
Must be able to:
Explain AI simply to non-technical buyers
Communicate with enterprise leadership
Present confidently in demos
Build trust with customers
Handle solution discussions independently