Staff Tech Lead, AI Innovation

Join the AI Innovation Group at HubSpot, focusing on the next giant leap forward, helping millions of businesses grow better with AI. We aim to empower customers through advanced AI capabilities that integrate seamlessly across our product suite. As a pivotal part of the Copilot team, you will contribute to the evolution of our AI Copilot and help shape its foundational architecture, making AI more accessible and impactful for our users.

What You’ll Do:

• Hands-on and Experiential Leadership: As a Staff Technical Lead, you're a hands-on technical leader. Your role will amplify the capabilities of your team, sharing knowledge on the latest AI/ML system best practices. Your quick adaptation and implementation of clear direction will foster a strong, innovative team environment. Your role involves leading and mentoring a team of engineers,providing strategic project directions, and embodying the core values of our engineering team.
• Navigate New AI Landscapes: You'll dive deep into the world of language models and their applications, bringing hands-on experience from working with large-scale, data-intensive applications or ML systems. Your curiosity will drive you to explore and integrate cutting-edge technologies to enhance the Copilot’s performance, including prompt engineering, OSS LLM Stack, fine-tuning, LangChain-like agents, RAG and Vector/Semantic DBs.
• Bridge Gaps: With a forward-looking approach, you'll be instrumental in integrating existing systems with the next-gen AI technologies, focusing on areas that make our AI systems effective for our business, such as conversational context and memory management, personalized prompts and continuous feedback loops for LLM fine tuning. 

Who You Are:

• A seasoned engineer with a history of delivering high-impact projects in large-scale data-intensive or AI/ML systems.
• An innovator eager to learn and apply new technologies.
• A visionary who stays hands-on, leading by example and fostering collaboration.
• A problem solver with pragmatic decision-making skills, capable of mentoring others in your area of expertise.
• Passionate about building scalable, reliable systems and leading the charge towards new horizons in AI applications.