
Founding Senior Software Engineer (Poland)
About this role
Role Overview
Founding Senior Software Engineer at Clipbook in Poland. This role suits engineers with at least three years of experience building and scaling production systems who want to shape core AI-driven features for a fast-growing SaaS platform.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Clipbook provides a platform that ingests, understands, summarizes, and surfaces insights from news, TV, podcasts, social media, and web data in real time. Launched in 2023, the company serves more than 200 clients, including BCG, Weber Shandwick, and various government agencies. After bootstrapping to seven-figure ARR, Clipbook raised a $3.3 million seed round co-led by Mark Cuban and other investors. The founding team includes alumni 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.
How to Apply
Apply through Clipbook’s official careers page.
FAQs
A: The role involves deploying large language models, retrieval-augmented generation pipelines, embeddings, and fine-tuned models in production.
A: The posting specifies the location as Poland; no remote option is mentioned.
A: Experience with AWS or GCP is required.
A: Features built will be shipped to over 200 existing customers.
A: The team is described as small but includes engineers from Meta, Stripe, and AWS.
A: Knowledge of Spark, Kafka, Flink, and BigQuery is highlighted as valuable.
Skills and tech stack
Questions candidates ask
What type of AI models will I work with?
The role involves deploying large language models, retrieval-augmented generation pipelines, embeddings, and fine-tuned models in production.
Is remote work possible?
The posting specifies the location as Poland; no remote option is mentioned.
What cloud providers does Clipbook use?
Experience with AWS or GCP is required.
How many customers will my work impact?
Features built will be shipped to over 200 existing customers.
What is the size of the engineering team?
The team is described as small but includes engineers from Meta, Stripe, and AWS.
Are there any specific data-engineering tools I should know?
Knowledge of Spark, Kafka, Flink, and BigQuery is highlighted as valuable.