Backend Engineer, Data Ingestion

About the role

About Scribe

Scribe https://scribe.com is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents.

We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.

About the role

As a Backend Software Engineer on Data Ingestion, you’ll work on the systems that bring captured activity into Scribe: receiving, batching, storing and handing it on to the AI pipeline, at the scale of hundreds of thousands of users and growing. The work is backend and infrastructure: throughput, reliability and cost.

What you'll do

- Build projects from design to launch, on established products and new ones.

- Collaborate with PMs, designers and other engineers to execute the build and how.

- Contribute to technical discussions, balancing short-term delivery with long-term architecture.

- Uphold strong engineering practices: code review, test coverage and observability.

- Build and operate high-throughput backend services and the queues and storage behind them.

- Improve the performance and reliability of services, database queries, endpoints and caching across critical workflows.

- Take part in the on-call rotation for the systems you build

What we're looking for

- 2+ years building experience building backend applications

- Product-minded. You care about the user problem as much as the code

- Comfortable with unclear problems and fast change

- Strong Python or Go experience, or experience in another backend language and willingness to work across Python and Go

- Familiar with queues, object storage, and relational or time-series databases

- Has debugged a production problem from metrics and logs

- User-centric, empathetic, and passionate about your work

- Nice to have: AI/LLM product experience, startup experience

Why you'll love working here

- Hard, open problems. Nobody hands you a finished spec. You'll decide what to build with your PM and designer, then own how it performs.

- The reach of a unicorn, the headcount of a startup. We went from $1M to $100M ARR in under four years, with fewer than 200 people. That means more pie than people: scope grows with your impact. Customers like T-Mobile, LinkedIn, HubSpot, New York Life and Northern Trust run on Scribe, so what you own reaches some of the biggest names in business.

- Smart is the floor. Kind is the bar. Low ego, high standards. We compete as a collective and love to see each other win, and One Team, One Dream is one of the most shouted-out values in #values.