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 experienced Marketing Manager to lead creative, high-impact campaigns and differentiate Hear’s digital presence across channels. You’ll partner closely with Sales and Product, own strategy-to-execution, and bring a maker’s mindset - rapid testing, sharp storytelling, and data-informed decisions. If you have genuine passion for AI and a track record of original, attention-grabbing work, this is for you.

Responsibilities

• Planning, execution, and optimization of marketing campaigns across various channels, including digital, social media, email, and events.
• Develop engaging content for blogs, social media and newsletters to drive engagement and brand awareness.
• Conduct research to identify market trends, competitor activities, and customer preferences to inform marketing strategies.
• Monitor and analyze the performance of marketing campaigns using analytics tools, and provide insights and recommendations for improvement.
• Manage and grow our social media presence by creating and scheduling posts, engaging with followers, and tracking metrics.

Qualifications

• At least 4 years of marketing experience (startup experience preferred), with a portfolio/case studies showcasing distinctive campaigns you led.
• A creative strategist + hands-on maker: concept → copy/brief → asset → launch → iterate.
• Strong command of social & digital (LinkedIn, X, paid social, email, web), and basic SEO/content know-how.
• Comfortable with marketing automation & CRM (e.g., HubSpot) and analytics (GA4, Looker, etc.).
• AI enthusiasm with practical experience using tools like ChatGPT, Jasper, Midjourney, etc.
• Excellent storytelling, attention to detail, and a bias for action.

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.