AI GTM Engineer; Voice Agent Specialist
Listed on 2026-07-25
-
Software Development
AI Engineer (Applied/Software)
2-5
Location : 100% Remote | India
Department :
Product Team
Employment Type
:
Full-time (US Shift : 6.30 PM-3.30 AM)
We are looking for a highly technical GTM Engineer to bridge gaps among Product, Sales, Marketing, and AI. This role is ideal for someone who enjoys building growth systems rather than just managing campaigns.
You’ll leverage modern AI coding platforms and no-code/low-code tools to rapidly build automations, internal tools, customer-facing experiences, and AI agents that accelerate our go-to-market efforts.
This role is perfect for builders who can turn ideas into working products within hours instead of weeks.
Key Responsibilities:- Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.
- Develop internal tools that improve Sales, Marketing, Customer Success, and Operations.
- Design and deploy Voice AI Agents for inbound/outbound customer interactions.
- Build prototypes and MVPs using AI-assisted development tools.
- Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.
- Work closely with Product, Sales, and Leadership to identify automation opportunities.
- Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.
- Rapidly experiment, iterate, and deploy growth initiatives.
- Measure performance of automations and continuously optimize them.
AI Development
Strong experience using AI code generation platforms such as:
Claude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation
Experience with tools like:
Hands-on experience building:
Voice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems
Preferred Qualifications (Strong Plus)Experience with:
Eleven Labs | Vapi | Retell AI | Bland AI | Twilio | Live Kit
Experience integrating:
Hub Spot | Salesforce | Zoho CRM | Slack | Google Workspace | Microsoft 365
- Strong problem-solving skills Ability to ship products quickly
- Comfortable experimenting with the latest AI technologies
- Excellent communication and cross-functional collaboration
- Curious, self-driven, and passionate about AI
Experience deploying AI applications to production
Education:Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
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