
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
🔥 Funding within the last year
💰 $11M Seed Round on 2026-03
Artificial Intelligence • SaaS • Productivity
Littlebird is an AI-powered productivity assistant and memory for work. It provides a single place for Chat, Meeting Notes, Routines, and an MCP (work memory) that integrates with the tools you use, offers a Hover integration to surface assistance in context, mobile and text access, and features focused on privacy and security. Littlebird is positioned for individuals and teams across roles—leadership, creative, technical, health, client-facing, research, and personal productivity—and emphasizes integrations and enterprise/team plans.
🔥 20 minutes ago
Where this job comes from
Posted on Littlebird's careers page, not through a job board
First seen by Remote Rocketship 20 minutes ago

11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
🔥 Funding within the last year
💰 $11M Seed Round on 2026-03
Artificial Intelligence • SaaS • Productivity
Littlebird is an AI-powered productivity assistant and memory for work. It provides a single place for Chat, Meeting Notes, Routines, and an MCP (work memory) that integrates with the tools you use, offers a Hover integration to surface assistance in context, mobile and text access, and features focused on privacy and security. Littlebird is positioned for individuals and teams across roles—leadership, creative, technical, health, client-facing, research, and personal productivity—and emphasizes integrations and enterprise/team plans.
• Design, develop, and implement new infrastructure for Littlebird, a personalized AI teammate for Mac and Android • Architect systems that allow the agent to reason, remember, and evolve • Develop core infrastructure that turns unstructured user data into a coherent world model • Design and implement next-generation AI memory systems • Scale data ingestion, hybrid search, and re-ranking pipelines • Ensure infrastructure is secure, observable, fast, reliable, and cost-effective • Develop efficient graph-based retrieval for rich, structured agent context
• Deep experience building and scaling data-intensive backend systems in Python or Go • Strong system-design skills and experience working with distributed systems • A clear mental model for data structures and their trade-offs • Hands-on experience with RAG pipelines • Production experience with modern cloud infrastructure, observability tooling, and PostgreSQL • A pragmatic approach to deciding when to build for the long term and when to ship a clever solution that works now
• Remote-friendly work environment • Collaborative team culture • Opportunity to shape infrastructure decisions • Competitive compensation packages including stock and health benefits, paid time off, and parental leave • 401k options for all US-based employees • Flexible working hours across multiple time zones
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