Key skills
JavaAIMLPerformance OptimizationCRM
About this role
Role Overview
- Design, build, and operate backend services that power context retrieval, enrichment, and insight generation across HubSpot’s platform.
- Build systems for storing, processing, and retrieving high-volume GTM data (e.g., contact history, CRM activity, behavioral signals).
- Develop scalable data processing and streaming solutions to support AI-driven use cases.
- Create reusable platform capabilities and APIs that enable other product teams to build smarter AI assistants and agents.
- Contribute to evaluation and quality frameworks to ensure context accuracy, reliability, and performance.
- Collaborate closely with platform teams and downstream product engineering teams to integrate capabilities into real customer experiences.
- Own end-to-end delivery: architecture, implementation, observability, performance, and iteration in production environments.
Requirements
- Strong track record shipping production backend systems as a senior engineer, with ownership from design through operation.
- Professional experience building maintainable, scalable backend services (Java preferred).
- Strong data background and experience working with large datasets, data pipelines, and data-intensive systems.
- Experience building or integrating AI/ML-adjacent systems in production (e.g., retrieval pipelines, embeddings, ranking systems, model-backed services, or similar).
- Experience operating systems at scale, including performance optimization and reliability considerations.
- Strong engineering fundamentals: system design, testing, debugging, observability, and operational excellence.
- Product mindset
- comfortable collaborating cross-functionally and building platform capabilities used by other engineering teams.
Tech Stack
- Java