初创资深软件工程师（SF，拉美，英国及欧洲）
Founding Senior Software Engineer (SF, LATAM, UK & Europe)
关于 ClipbookClipbook 的使命：重新发明领导人如何听取和与每天流出的信息世界互动。我们的平台从传统新闻，电视，播客，社交媒体和实时文本，音频和视频中扩展到文字，录像和视频中的传统消息，传媒，社交媒体以及互联网数据的见解和行动。我们于2023年推出并已发展成为200多个客户，包括 BCG,韦伯尔山德威克和数十家政府机构。在筹集330万美元轮 （由马克·库巴恩联合领袖和众多知名天使和 VC 公司）前，我们开始创建了7位数的 ARR. 我们的创始团队在 BCG,Bain,哈佛，斯坦福，牛津，白宫和国会拥有背景，并且以前已经建立了由 Sequoia,Tiger Global,Insight Partners,Coatue 和 NFX 支持的初创公司。你将成为 Clipbook 的一个关键贡献者加入一个来自 Meta,Stripe 和 AWS 的工程师组成的小但强大的工程团队。你将有机会开发新的功能和能力，你所构建的东西将快速传递给200多个客户。你将做什么 ·建筑 & 构建核心系统。通过我们的堆积和自己的功能开发进行端到端驱动关键决策。· 将 AI 集成到现实世界工作流中。将 LLMs 和 ML 模型投入生产用于实际工作流：设计系统，可以扩展。构建将在我们增长10倍时保持持续的系统，同时是关于现在投资到什么方面实用的。·开发高性能 API 和服务。创建强大的接口和内部服务，以供我们的产品端到端提供动力，确保可靠性，安全性以及客户无体验。我们正在寻找什么？· 3年以上建设和扩大生产系统。强大的后台基础 （服务，数据模型，分布式系统）,具有更深入的专业知识在一个或多个领域，并希望随着时间不断扩张你的广度。· 真正的兴趣是快速建造和快速运输。我们关心把东西放在用户手中，然后从那里进行反复操作。· 对云基础设施，集装箱化和 CI/CD 的经验。对 AWS/GCP,集装器 (Docker/K8s) 和 CI/CD 管道的熟悉。· 优秀的沟通技能 深度重要技术领域 （一个或多个）· 数据工程：Spark,Kafka,Flink,BigQuery,流媒体管道，ETL 规模。· 分享系统：大体积扩展，故障容忍力，最终一致性。
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About Clipbook
Clipbook’s mission: reinvent how leaders listen to and engage with the world of information that comes out every day.
Our platform ingests, comprehends, summarizes, and surfaces insights and actions from traditional news, TV, podcast, social media, and internet data at scale—across text, audio, and video in real time.
We launched in 2023 and have grown to 200+ clients including BCG, Weber Shandwick, and dozens of government agencies. We bootstrapped to seven-figures in ARR before raising a $3.3M seed round (co-led by Mark Cuban and a host of prominent angels and VCs).
Our founding team has backgrounds at BCG, Bain, Harvard, Stanford, Oxford, the White House, and Congress, and has previously built startups backed by Sequoia, Tiger Global, Insight Partners, Coatue, and NFX.
The Role
You'd be a key contributor at Clipbook — joining a small but mighty engineering team with engineers from Meta, Stripe, and AWS. You'll have the opportunity to develop new features and capabilities, and what you build will ship to 200+ customers quickly.
What You'll Do
- Architect & build core systems. Drive key decisions across our stack and own feature development end-to-end.
- Integrate AI into real-world workflows. Put LLMs and ML models into production for real workflows: RAG pipelines, embeddings, prompt execution, agentic systems, fine-tuned models.
- Design systems that scale. Build systems that will hold up as we grow 10x, while being practical about what to invest in now vs. what can wait.
- Develop performant APIs and services. Create robust interfaces and internal services that power our product end-to-end, ensuring reliability, security, and a seamless experience for customers.
What We're Looking For
- 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 your breadth over time.
- Genuine excitement to build quickly & ship fast. We care about getting things into users' hands and iterating from there.
- Experience with cloud infrastructure, containerization, and CI/CD. Familiarity with AWS/GCP, containerization (Docker/K8s), and CI/CD pipelines.
- Excellent communication skills
Technical Areas Where Depth Matters (one or more)
- 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.
- Backend: Python, TypeScript, PostgreSQL, high-concurrency systems.
Originally posted on Himalayas