Emvo
Website:
emvoke.com
Company:
https://www.linkedin.com/company/emvoai
Industries: Software Development
Job details:
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
Strong 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
Click on Apply to know more.