
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
📱 Media
Artificial Intelligence • SaaS • Media
Clipbook is an AI-powered media intelligence and research platform that monitors, aggregates, and analyzes more than a million news, broadcast, social, podcast, and policy sources to surface actionable insights for communications, public affairs, and corporate teams. The platform delivers real-time alerts, predictive intelligence beyond keyword tracking, custom reports and visualized analytics, and a searchable media database to help teams track stakeholders, measure impact, and make data-driven decisions.
🔥 13 hours ago
AWS
BigQuery
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Postgres
Python
Spark
TypeScript
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
📱 Media
Artificial Intelligence • SaaS • Media
Clipbook is an AI-powered media intelligence and research platform that monitors, aggregates, and analyzes more than a million news, broadcast, social, podcast, and policy sources to surface actionable insights for communications, public affairs, and corporate teams. The platform delivers real-time alerts, predictive intelligence beyond keyword tracking, custom reports and visualized analytics, and a searchable media database to help teams track stakeholders, measure impact, and make data-driven decisions.
• Drive key architectural decisions across the stack and own feature development end-to-end • Integrate LLMs and ML models into real-world production workflows, including RAG pipelines, embeddings, prompt execution, agentic systems, and fine-tuned models • Build scalable systems while balancing immediate investment against future growth • Create performant APIs and internal services powering the product end-to-end • Ensure reliability, security, and a seamless customer experience • Develop new features and capabilities for Clipbook’s 200+ customers • Collaborate within a small engineering team
• 3+ years building and scaling production systems • Strong backend fundamentals in services, data models, and distributed systems, with deeper expertise in one or more areas • Genuine excitement to build quickly and ship fast • Experience with cloud infrastructure, containerization, and CI/CD pipelines • Familiarity with AWS or GCP • Familiarity with Docker and Kubernetes • Excellent communication skills • Depth in one or more of: Spark, Kafka, Flink, BigQuery, streaming pipelines, ETL at scale, high-volume scaling, fault tolerance, eventual consistency, LLMs in production, RAG, embeddings, fine-tuning, inference optimization, Python, TypeScript, PostgreSQL, and high-concurrency systems • Available to begin full-time employment immediately
Apply Now🔥 14 hours ago
Full stack developer building Countfire’s automated construction takeoff software. Developing image recognition and real-time collaboration features across frontend and backend systems.
🔥 19 hours ago
Product Engineering Lead building Tether’s privacy-preserving, on-device AI assistant QV.AC. Leading consumer product engineering teams across app features, APIs, reliability, and product execution.
🕒 Yesterday
React Native engineer building Kraken’s crypto-finance mobile app for Asian markets. Owning data-rich features and regional UX, connectivity, and performance challenges end to end.
🕒 2 days ago
Senior Software Engineer developing Linux kernel networking drivers and userspace libraries for NVIDIA ConnectX and BlueField adapters. Contributing to open-source networking and upstream kernel development.
🕒 2 days ago
Senior Software Engineer building Mural’s Canvas platform for visual collaboration. Improving real-time editing, performance, APIs, and AI-enabled editor capabilities.