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Product Engineer Jobs
Company | Turntable (YC W23) |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-07-19 |
Posted at | 10 months ago |
Turntable(YC W23) enables less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics stack without hiring more engineers.
The founding team has experience building data and ML products at Stripe, Pinterest, Twitter, and Cruise.Justinled the commercial data science team at Cruise,Ianbuilt ML and data tools at Pinterest and Stripe, andWallyled product for Twitter’s largest ML team, the Home Timeline.
At all of these companies, we encountered the same problem: data pipelines are too hard to build and maintain. Often business stakeholders who know SQL can unblock themselves if only the tooling was better.
The jobs of the last million data professionals will look different than the next million. Data is more vital to an organization than ever before but the majority of data tools are still too complex and hard to use.
We combine modern data warehousing technology, large language models and a delightful user experience to craft a category defining product.
We believe that if we are successful in our mission, we will change how organizations use data to develop products, run daily operations and plan for the future.
There is no shortage of interesting technical and product problems to solve at Turntable. We have years of development work ahead of us and your time spent working with us will be on high-impact, customer-facing product features.
- Developing AI models that can generate SQL, write documentation and understand an organization’s data models in their warehouse
- Designing realtime, multiplayer infrastructure
- Building large canvas, Figma-like frontend experiences
- Hacking up SQL compilers, network libraries and abstract syntax tree parsers to generate a column-level data lineage view of an entire warehouse
Our tech stack is always evolving. We don’t expect candidates be an expert at every part of our stack. Here are the highlights:
Artificial Intelligence
- The OpenAI platform (fine tuning, gpt4, gpt3.5, embeddings)
- Pytorch
- PGvector
Backend
- Python
- Postgres
- Fastapi
- Docker
- AWS
Frontend
- Tailwindcss
- React
- Vercel
- Typescript
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