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Clipbook
Free to start · No card · 5 credits the moment you sign up
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.
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.
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.
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.
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
Start with a role or skill you want to use in your next job. Use the location and role filters to narrow the results, then open a listing to review the description. A title alone rarely explains the level of responsibility, working arrangement, or experience a team needs. Compare those details before deciding which opportunities deserve a tailored application.
Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
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Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.