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Clipbook is reinventing how leaders listen to and engage with information at scale. The platform ingests, comprehends, summarizes, and surfaces insights and actions from traditional news, TV, podcasts, social media, and internet data in real time—across text, audio, and video. Founded in 2023, Clipbook has grown to 200+ clients including BCG, Weber Shandwick, and dozens of government agencies. The company bootstrapped to seven-figures in ARR before raising a $3.3M seed round co-led by Mark Cuban and prominent angels and VCs. The founding team includes backgrounds from BCG, Bain, Harvard, Stanford, Oxford, the White House, and Congress, with prior startup experience backed by Sequoia, Tiger Global, Insight Partners, Coatue, and NFX.
As a Founding Senior Software Engineer, you will be a key contributor to a small but mighty engineering team alongside engineers from Meta, Stripe, and AWS. You will have the opportunity to develop new features and capabilities that ship to 200+ customers quickly.
Responsibilities:
- Architect and build core systems, driving key decisions across the stack and owning feature development end-to-end.
- Integrate AI into real-world workflows: put LLMs and ML models into production for real workflows including RAG pipelines, embeddings, prompt execution, agentic systems, and fine-tuned models.
- Design systems that scale and will hold up as the company grows 10x, while being practical about what to invest in now versus what can wait.
- Develop performant APIs and services that power the product end-to-end, ensuring reliability, security, and a seamless experience for customers.
Requirements:
- 3+ years building and scaling production systems. Strong across backend fundamentals (services, data models, distributed systems), with deeper expertise in one or more areas and a desire to keep expanding breadth over time.
- Genuine excitement to build quickly and ship fast; the company prioritizes getting things into users' hands and iterating from there.
- Experience with cloud infrastructure, containerization, and CI/CD. Familiarity with AWS/GCP, containerization (Docker/Kubernetes), and CI/CD pipelines required.
- Excellent communication skills.
- Depth in one or more of: Data Engineering (Spark, Kafka, Flink, BigQuery, streaming pipelines, ETL at scale); Distributed Systems (high-volume scaling, fault tolerance, eventual consistency); AI/ML (LLMs in production, RAG, embeddings, fine-tuning, inference optimization); or Backend (Python, TypeScript, PostgreSQL, high-concurrency systems).
