Automation Engineer

About us

Hear is an innovative early-stage startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people.

About the role

We are looking for an Automation Engineer to join our team and build end-to-end automation flows that support our marketing, sales, and customer success teams. This role is perfect for a developer who enjoys problem-solving, working across business functions, and leveraging the latest AI and automation technologies to scale operations and improve efficiency.

Responsibilities

• Design, develop, and maintain automation flows across marketing, sales, and customer success systems.
• Integrate multiple tools and platforms (CRM, marketing automation, communication systems, ticketing systems, etc.) into seamless workflows.
• Collaborate with internal teams to identify bottlenecks and automate repetitive tasks.
• Implement, monitor, and optimize workflows to ensure high reliability and performance.
• Stay up to date with emerging AI and automation tools, suggesting and applying relevant solutions.
• Document processes, workflows, and best practices for internal knowledge sharing.

Requirements

• 1–3 years of experience as a developer, preferably in automation engineering or similar roles.
• Proven hands-on experience with AI and automation platforms such as 8x8, Zapier, Make (Integromat), n8n, UiPath, Workato, or equivalent tools.
• Familiarity with AI-driven workflows including conversational AI, LLM-powered integrations, and customer engagement automation.
• Proficiency in at least one scripting or programming language (e.g., Python, JavaScript) for building custom connectors and API integrations.
• Strong understanding of REST APIs, webhooks, and system integrations.
• Ability to work cross-functionally with business teams to translate requirements into scalable automation solutions.
• Detail-oriented with strong problem-solving skills and the ability to debug and optimize complex workflows.