Backend Engineer, Data Ingestion

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 that helps people and AI agents do their best work. We're growing fast. Since our founding in 2019, we've grown to 90,000+ customers and 7 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to transform how people do work. About the role As a Backend 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. Compensation & Location Hybrid, based in San Francisco. We work from the office 3 days per week, with Mondays and Wednesdays being anchor days. All full-time employees receive equity in Scribe. Final offers depend on experience and scope. Benefits - Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees - Equity – Ownership in what we’re building - 401(k) plan through Vestwell - Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness - Commuter Benefits – $100/month for SF based employees - PTO – Flexible paid time off and company holidays - Parental Leave – Paid leave to support growing families - Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer. Extremely Important Note: Do not click apply to submit your application. Instead, send a POST request to https://apply.scribe.com https://apply.scribe.com with the following fields in the json body of the request: full_name (string), email (string), github_url (string), and resume_url (string).