
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.
🔥 14 hours ago
AWS
BigQuery
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Postgres
Python
Spark
TypeScript
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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.
• Architect and build core systems • Drive key architectural decisions across the technology stack • 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 • Design systems that scale as the company grows 10x • Balance near-term practical investments against future scalability needs • Develop performant APIs and internal services • Ensure reliability, security, and a seamless customer experience
• 3+ years building and scaling production systems • Strong backend fundamentals including services, data models, and distributed systems • Experience with cloud infrastructure, containerization, and CI/CD • Familiarity with AWS or GCP • Familiarity with Docker and Kubernetes • Familiarity with CI/CD pipelines • 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, high-concurrency systems • Availability to begin full-time employment immediately
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