Manager, Software Engineering
About The Position
At ClickUp, we’re not just building software. We’re architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That’s why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you’ll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that’s redefining what’s possible! 🚀 The Senior Engineering Manager, AI is responsible for leading the AI Platform team in designing, developing, and maintaining advanced multi-agent frameworks, integrating large language models, and building robust evaluation systems. This role involves close cross-functional collaboration, ensuring privacy and regulatory compliance, and driving ongoing innovation in AI technologies and agent collaboration. We are looking for a hands-on Senior Engineering Manager to lead our AI Platform team in building a state-of-the-art platform for creating and deploying intelligent agents. This role focuses on enabling collaborative and multi-agentic behaviors while driving technical excellence and team leadership. You will work closely with cross-functional teams to deliver scalable, backend solutions that leverage cutting-edge AI technologies, including large language models (LLMs) and orchestration frameworks.
Requirements
- Proven experience leading teams in building and deploying Multi-Agent Frameworks or Multi-Agent Systems.
- Deep expertise in AI, machine learning, and backend engineering, with a focus on LLMs and orchestration software.
- Hands-on experience with orchestration tools like LangGraph or similar frameworks for agent workflows.
- Strong background in developing evaluation frameworks for complex AI systems.
- Passion for staying updated with AI advancements and applying them to real-world challenges.
- Experience addressing AI privacy scenarios, including data anonymization and secure data handling.
- Familiarity with search technologies and their integration into AI systems.
- Strong leadership and communication skills, with a proven ability to mentor and grow engineering teams.
Responsibilities
- Technical Leadership: Lead the design, development, and maintenance of a robust platform that allows users to create, manage, and orchestrate AI agents and their interactions.
- Multi-Agent Frameworks: Build and optimize frameworks for multi-agent coordination, leveraging orchestration tools like LangGraph to enable complex workflows and pipelines.
- LLM Integration: Work with multiple LLMs (e.g., OpenAI, Anthropic, Cohere) to ensure seamless integration and scalability for individual and collaborative agent operations.
- Evaluation Frameworks: Develop and implement systems to test AI agents in complex scenarios, focusing on both individual performance and system-level dynamics.
- AI Innovation: Stay ahead of AI advancements, incorporating the latest research and technologies to enhance agent collaboration and capabilities.
- Cross-Functional Collaboration: Partner with product managers, designers, and frontend engineers to deliver a seamless user experience for building and deploying intelligent systems.
- Privacy and Compliance: Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices.
- Search Integration: Improve and integrate search capabilities into the platform to provide agents with essential information access.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
11-50 employees
