Staff Backend Engineer, Data Ingestion

About Scribe

Scribe 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 Staff Backend Engineer, Data Ingestion, you'll own the backend platform and observability systems that keep Scribe's Workflow Mapping capture and ingestion systems healthy at scale. Our desktop apps and browser extensions run across hundreds of thousands of installations worldwide. You'll build the systems that help us understand whether those apps are capturing data reliably, identify problems across the fleet, and ensure the data they produce flows dependably into our processing and AI pipelines.

This is a hands-on technical leadership role on our Recorder Engineering team. You'll shape the feature, reliability, and observability roadmap for the Workflow Mapping client platform, establish meaningful measures of ingestion health, and drive improvements across team boundaries. You'll work primarily in Python, with TypeScript and Go as needed, and partner with engineers deploying and operating our services in AWS.

What you'll do

• Build and evolve the monitoring and observability platform for hundreds of thousands of desktop and browser extension installations worldwide.
• Define and improve the signals that measure recorder reliability, data capture health, and the availability of our Agentic Workflow Mapping system.
• Own and evolve the backend ingestion services that connect data capture to processing and AI pipelines, with a focus on scale, reliability, and performance.
• Improve background-job reliability and task orchestration so captured data moves dependably through the platform.
• Design, deploy, and operate production services in AWS, using observability to identify failures, troubleshoot bottlenecks, and guide improvements.
• Set the technical direction and drive the feature, reliability, and observability roadmap for the Workflow Mapping client platform in partnership with Recorder Engineering and adjacent teams.
• Lead cross-team technical work, clarify ownership, unblock engineers, and set a high bar for scalable architecture and maintainable code.

What we're looking for

• You bring deep experience building backend applications and a track record of owning complex production systems at Staff-level scope.
• You have strong Python skills and are comfortable working across TypeScript and Go as needed.
• You've designed and operated distributed systems and large-scale data ingestion pipelines, and understand the tradeoffs between reliability, performance, and scale.
• You've built monitoring and observability systems that make production health measurable and help teams detect, diagnose, and resolve failures.
• You're confident working with message queues, background jobs, and task orchestration tools such as Celery, SQS, RabbitMQ, or Kafka.
• You have experience designing, deploying, and maintaining production services in AWS.
• You can turn an ambiguous problem into a technical roadmap, align engineers across teams, and carry work from design through production operation.
• You combine hands-on engineering with technical leadership, write pragmatic and maintainable code, and take ownership of the health of the systems you build.
• Nice to have
• Experience monitoring the health and reliability of a large fleet of desktop apps, browser extensions, or other distributed clients.
• Experience with Django.
• Experience working at a startup or in another fast-paced, high-growth environment.
• 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.