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’re looking for an AI Engineer to design, build, and deploy next-generation AI systems powering Hear’s conversational analytics and agentic intelligence platform.

This role is ideal for someone who loves pushing LLM capabilities forward, enjoys experimenting with autonomous AI frameworks, and stays ahead of the curve on emerging AI technologies. You’ll work with tools like LangChain, LangGraph, Claude, Cursor, and Pydantic AI - and optimize deployments using vLLM and GCP.

Responsibilities

• Design, develop, and optimize AI models for conversational intelligence, analytics, and autonomous workflows.
• Build LLM-based systems leveraging LangChain, LangGraph, and similar orchestration frameworks.
• Integrate Claude and other LLM APIs into production-ready applications.
• Use Cursor and AI-assisted coding workflows to accelerate model prototyping and deployment.
• Fine-tune large language models (LLMs) for task-specific use cases and evaluate performance improvements.
• Deploy and scale inference using vLLM or equivalent high-performance serving frameworks.
• Implement and manage monitoring, logging, and performance tracking with DataDog.
• Work closely with cross-functional teams to integrate AI pipelines into customer-facing products deployed on GCP.
• Stay up to date with the latest AI research, frameworks, and tools to continuously improve our platform’s capabilities.

Qualifications

• At least 4 years of hands-on experience with machine learning/AI frameworks is required
• Practical experience with LLM frameworks such as LangChain, LangGraph, or equivalent.
• Familiarity with AI-assisted coding tools (e.g., Cursor, Copilot).
• Bachelor’s or Master’s degree in Computer Science or a related field with a focus on AI/ML.
• Familiarity with GCP/AWS, efficient inference serving for large language models (advantage), and deployment/monitoring of AI systems in production, including the use of DataDog.
• Excellent problem-solving abilities and a passion for innovation.

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

• 1–2 years of experience as an AI Workflow automation developer (not QA).
• Proven hands-on experience with AI and automation platforms such as N8N, Zapier, Make (Integromat), 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.

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 a proactive and motivated Customer Success Manager to join our growing team. This role is ideal for someone with at least two years of experience in customer success or client-facing roles, with a strong preference for candidates who have worked with CX solutions. You’ll play a key role in building strong relationships with our customers, driving adoption of our AI solutions, and ensuring long-term satisfaction and growth.

Responsibilities

• Manage client relationships - Act as the primary point of contact, ensuring smooth onboarding, training, and ongoing support.
• Maximize customer value - Partner with clients to ensure they achieve their goals and gain the most from our AI platform through tailored solutions.
• Champion the customer voice - Gather feedback and insights to represent the customer voice internally and support product improvements.
• Growth & retention – Identify opportunities for upselling, cross-selling, and increasing customer engagement.
• Handle multiple tasks under pressure – Prioritize and manage responsibilities in a fast-paced startup environment.

Qualifications

• Minimum 2 years of experience in customer success, account management, or related roles.
• Significant advantage for experience with CX platforms or customer experience processes.
• Strong verbal & written communication skills - Able to clearly explain complex concepts to diverse audiences.
• Professional & presentable demeanor - Client-facing experience is essential.
• Technical aptitude - Comfortable learning and working with AI-driven tools.
• Attention to detail and problem-solving mindset.
• Ability to work under pressure and adapt to changing priorities.
• High proficiency in both English and Hebrew - fluent spoken and written communication.

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