Senior Product Engineer

Our core mission at Tensorlake is to unlock your data wherever it is. We believe that people should have access to the best tools to parse, extract, and manipulate data, run data applications, so they can spend more time putting knowledge into action.

We’re looking for engineers who want to build the operating system for AI Data Applications and Workflows.

We’re looking for experienced product engineers with a mission to build delightful experiences for our customers.

• Craft intuitive interfaces and apis that allow our customers to manage their documents and workflows.
• Build features end-to-end, from our playground to our subscriptions services.
• Work closely with the rest of the engineering team to take something from an idea to a polished product, defining tasks, implementing them, and monitoring their success.

• You have 5 or more years of experience in product engineering.
• You have an ability to autonomously lead, design, and implement great product experiences, end to end.
• You have a strong understanding of frontend architecture and REST apis to build interactively-rich systems for presenting and manipulating data.
• You like to be a part of the entire product development process, from customer research to planning and implementation.
• You have some knowledge about Rust, or are curious enough to learn and use it when necessary. You have great written and verbal communication skills.

• We’re a startup, and we expect people to be able to wear multiple hats at any given time.
• We’re distributed across the US and Europe, and everyone is self-sufficient to get work done even when nobody else is around.
• We do not expect people to work all the time, but we expect everyone to follow up on their commitments.
• We’re a small team with high ownership and we’re passionate about what we do.
• Our tech stack is somehow diverse. You’d be mostly working with Next.js, Type Script, and PostgreSQL on your day to day. But you’ll also need to understand Rust enough to touch parts of our backend infrastructure, and Python enough to understand how our customers use Tensorlake.