📍 New York, NY or Remote
📊 Generous equity
🤝 4 person team
⏱️ Full-time
💰 $150K-$225K
🩺 Benefits (health, dental, vision, new equipment, etc)

💽 What we do

We’re on a mission to build the future of analytics infrastructure. Data teams use Turntable to build and maintain data pipelines that power every aspect of their organization from the finance department to operations.

The founding team has experience running data teams and building products at companies like Stripe, Pinterest, Twitter, Cruise, Reddit and Coinbase.

We’ve raised $3.2M from world-class investors.

🔮 Our vision

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, AI and a delightful user experience to craft what we believe will be a category-defining product.

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.

👩💻 About the role

We are looking for a stellar full-stack engineer to join our engineering team. You’ll work directly with the co-founders and our early customers to help data teams around the world be more effective at working with their data.

This is a role that is strongly focused on product and you will often be designing new features from scratch that are brand new to the industry. Customer-facing product development experience is a big plus.

We offer competitive salary and equity as well as a slate of other benefits:

Health insurance
Dental insurance
Vision insurance
New equipment (new Macbooks, monitor, etc)
Quarterly offsites

🏗️ Interesting Problems We are Solving

There is no shortage of interesting technical problems to solve in our space. We have years of work ahead of us and your time spent working with us will be on high-impact, customer-facing products.

Here’s a preview of some of the types of projects you can expect to work on:

Developing AI models that can generate SQL, write documentation and understand an organization’s data models in their warehouse
Hacking up SQL compilers, network libraries and abstract syntax tree parsers to generate a column-level data lineage view of an entire data warehouse
Building large canvas, Figma-like frontend experiences
Architecting large scale workflow systems
Designing realtime, multiplayer infrastructure

🛠️ Our Engineering Culture

At Turntable, we take inspiration from how some of the best engineering teams in the industry operate. We don’t shy away from adding in our own remixes as well.

Some Examples Of How We Work

We dogfood our own product every day. We build data pipelines for our business in Turntable and we often hop into our product to help customers be successful.
We prioritize speed and rapid iteration. We believe that done is better than perfect and that most of the learning of a feature happens after launch.
We are low ego and high empathy. We believe good software is not enough to build a category-defining product - we also need a highly functional team.
We all wear the customer hat. Engineers at Turntable will often interact with customers and the customer are at the center of what we build.
We celebrate wins, ships, and learnings. We host Friday happy hours to demo what was built during the week and to share what we learned.
Slope > intercept. We believe a good engineering culture should be focused on providing interesting opportunities to engineers to grow and level up their careers.

💻 Our Tech stack

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

Pytorch
The OpenAI platform
PGvector
Local model development (ex: llama2)
New LLM patterns (ex: fine-tuning, retrieval augmented operation (RAGs)

Backend

Python
dbt-core
Fastapi
Docker
Postgres
AWS

Frontend

React
Typescript
Tailwindcss
Vercel

Turntable (YC W23)

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