
We build the models. You build the future. AGI for the enterprise, starting with software agents.

We build the models. You build the future. AGI for the enterprise, starting with software agents.
Core offering: Enterprise foundation models and agentic systems for software engineering
Deployment: On‑prem / VPC / workstation deployable with enterprise governance
Founders / leadership: Jason Warner (CEO) and Eiso Kant (CTO / co‑founder)
Funding: $626M total reported (includes $500M Series B)
Employees: Approx. 330
Automating and augmenting software engineering workflows with foundation models and software agents.
Enterprise AI / Developer tools
$126M
Reported large seed raised prior to 2024
$500M
Reported Series B announced Oct 2, 2024
“Participation from strategic corporate and institutional investors including Nvidia and eBay Ventures reported alongside institutional backers”
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About Poolside In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company : to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
About Our Team We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
About The Role You will be a core member of our Pretraining Data team, responsible for building and scaling our Model Factory: our system for quickly training, scaling, and experimenting with our foundation models. This is a hands-on role where your #1 mission is to architect and maintain the high-performance pipelines that transform trillions of raw tokens into the high-quality dataset "fuel" our models require.
To enable us to conduct and implement latest research, you’ll be engineering the ingestion, deduplication, and streaming systems that handle petabyte-scale data. You will bridge the gap between raw web crawls and our GPU clusters, directly influencing model performance through superior data modeling, algorithmic sorting, and distributed pipeline optimization. You will be closely collaborating with other teams like Pretraining, Postraining, Evals, and Product to generate high-quality datasets that map to missing model capabilities and downstream use cases.
Curious about the tech? Take a deep dive into our pretraining data stack in this blogpost from our 'Model Factory' series.
YOUR MISSION To deliver large, high-quality, and diverse datasets of natural language and source code for training Poolside models and coding agents.
Responsibilities
Skills & Experience
PROCESS
Benefits
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Strong background in building production-grade, distributed data systems for machine learning, with experience in:
Orchestration: Slurm, Airflow, or Dagster
Observability & Reliability: CI/CD, Grafana, Prometheus, etc.
Infra: Git, Docker, k8s, cloud managed services
Batch inference (ex: vLLM)
Performance obsession, especially with large-scale GPU clusters and distributed pipelines
Expert-level python knowledge and ability to write clean and maintainable code
Strong algorithmic foundations
Proficiency with libraries like Polars, Dask, or PySpark
Nice to have:
Experience in building trillion-scale SOTA pretraining datasets
Experience translating research to production at scale
Experience with OCR, web crawling, or evals
Prior experience pre-training LLMs