--- title: 'Staff Backend Engineer, Data Ingestion at Scribe' canonical: 'https://feeny.ai/job/staff-backend-engineer-data-ingestion-scribe-remote-9dxhb2j128z3' type: 'job' last_seen: '2026-09-23' --- # Staff Backend Engineer, Data Ingestion at Scribe - **Company:** Scribe - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-23 - **Apply:** https://jobs.ashbyhq.com/scribe/b56fd89b-1d46-4291-be2a-41d21349f6f3 ## Job description ## 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 that helps people and AI agents do their best work. We're growing fast, since our founding in 2019, we've grown to 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 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. 📍 Location Remote. 💰 Compensation Salary varies by location. All full-time employees receive equity in Scribe. Final offers depend on experience and scope. 🎁 Benefits - Health, dental, and vision insurance for you and your dependents - Flexible paid time off and company holidays - 401(k) - Paid parental leave - Daily catered lunch (SF office) - Commuter benefits - Home office stipend 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. ## About Scribe ## Company Overview - **One-liner**: Scribe is an AI-powered platform that automatically captures, documents, and shares workflows, providing the missing context for teams and AI agents to operate efficiently. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, USA (with employees across 3 continents) - **Founded**: 2020 - **Founders**: Jennifer Smith (CEO) and Aaron Podolny ## Core Business - Primary industry: Workflow documentation, AI-powered process intelligence, and enterprise knowledge management - Target customers: B2B, serving both SMBs and large enterprises (94% of the Fortune 500 are customers) - Mission: "To unleash and uplevel the world's know-how" — making it automatic for the "go-to person" on every team to share how they get things done ## Products & Services - **Scribe Platform**: An AI-powered tool that automatically captures step-by-step workflows as users work, transforming institutional knowledge into documentation, guides, and context that both human teams and AI agents can read. - **Scribe AI**: A suite of AI features that analyzes workflows to surface bottlenecks, redundancies, and time drains; provides data-backed recommendations for automation; and gives AI tools (like agents and copilots) the workflow context they need to perform 71% better. - **Workflow Intelligence**: A product that helps enterprises build their AI roadmap in days by identifying exactly where AI and automation will have the biggest impact and proving ROI. ## Market Standing - **Valuation**: $1.3 billion (as of early 2026, per Fortune reporting) - **Key Metric**: Total funding raised of $130M; YoY revenue growth of 300% - **Notable Investors/Partners**: Not explicitly named in search results, but the company is backed by prominent venture capital firms (early backers mentioned on the about page) - **Growth Signals**: - 6 million+ users and hundreds of thousands of organizations - 94% of the Fortune 500 are customers - 100+ employees across 3 continents - 35 hours saved per person per month for Pro Team & Enterprise customers - 98% of customers say they make fewer mistakes - 95% of leaders say Scribe enables them to do more with less - 12x faster documentation creation ## Competitive Advantages - **Network effects**: Every workflow captured enriches the platform's AI models, making recommendations smarter for all users - **Enterprise-grade security**: Meets SOC 2 Type II, HIPAA, CCPA, GDPR, FERPA, and other compliance standards, with automatic redaction of sensitive data - **AI-native architecture**: Purpose-built to provide context to both human teams and AI agents, solving the "context gap" that limits AI agent adoption in enterprises - **Zero-friction capture**: Documentation happens automatically as users work — no manual steps, no interrupting workflow - **High switching costs**: Becomes the "single source of truth" for all organizational processes, deeply embedded in daily operations ## Strategic Focus - **AI transformation**: Helping enterprises build their AI roadmap in days by measuring exactly where AI and automation will have the biggest impact - **Context for AI agents**: Positioned as the platform that gives AI tools the workflow context they've been missing — a critical enabler for enterprise AI agent adoption - **Scaling the best ways of working**: Ensuring best practices are followed consistently across teams and tools - **International expansion**: Already operating across 3 continents, with continued hiring globally ## Why Work Here - **Culture and values**: Strong emphasis on six core values that drive decisions daily: Accelerate Impact, Rapid Learning Machine, Raise the Bar, Clear is Kind, Make Our Users Heroes, One Team One Dream. These aren't "corporate buzzwords" — they are used regularly in meetings and decision-making. - **High agency, low ego**: Described as a place with no micromanagement, no ego — just "thoughtful, humble, incredibly driven teammates." - **Recruiting as a strategic advantage**: Talent is treated as foundational, not transactional. Hiring managers partner deeply with recruiting from day one. The bar is high but never lowered, even as headcount doubles. - **Rapid growth trajectory**: 300% YoY revenue growth and a $1.3B valuation mean employees are building at scale with significant resources and impact. - **Remote/hybrid policy**: Not explicitly stated, but the company has employees across 3 continents, suggesting a distributed or hybrid model. - **Mission-driven work**: Employees are united by a mission to "uplevel how people do work" and make every team member more effective. ## Sources 1. [scribe.com](https://scribe.com/) — Main product site with customer stats and value proposition 2. [scribe.com/about](https://scribe.com/about/) — Company mission, history, and values 3. [scribe.com/careers](https://scribe.com/careers) — Careers page with culture, values, and growth metrics 4. [scribe.com/library/what-its-like-to-recruit-at-scribe](https://scribe.com/library/what-its-like-to-recruit-at-scribe) — Internal recruiting blog post detailing culture and hiring philosophy 5. [fortune.com](https://fortune.com/2026/scribe-1.3-billion-valuation-ai-workflow/) — Fortune article: "Scribe hits $1.3B valuation as it moves to show where AI will actually pay off" ## Other roles at Scribe - [Sales Manager, Commercial (SMB)](https://feeny.ai/job/sales-manager-commercial-smb-scribe-san-francisco-fhe8e65xjhxs) — San Francisco, CA - [Join our Talent Community](https://feeny.ai/job/join-our-talent-community-scribe-united-states-jac9b143ajfb) — United States - [Account Executive, Enterprise Expansion](https://feeny.ai/job/account-executive-enterprise-expansion-scribe-new-york-ksyteq5x53t2) — New York, NY - [Staff Design Engineer](https://feeny.ai/job/staff-design-engineer-scribe-san-francisco-8sfppjx7dmvk) — San Francisco, CA - [Customer Support Agent](https://feeny.ai/job/customer-support-agent-scribe-argentina-hdvw99dje35j) — Argentina - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-scribe-san-francisco-0b92k0dt9f7x) — San Francisco, CA - [Manager, Large Enterprise Sales](https://feeny.ai/job/manager-large-enterprise-sales-scribe-remote-2h1t41mzqtbe) - [Manager, Emerging Enterprise Sales](https://feeny.ai/job/manager-emerging-enterprise-sales-scribe-remote-hck2h6hmwvhm) - [Senior Backend Engineer, Agents](https://feeny.ai/job/senior-backend-engineer-agents-scribe-remote-w1ag1y8314ep) - [Account Executive, Mid-Market Expansion](https://feeny.ai/job/account-executive-mid-market-expansion-scribe-remote-wttej9v8sf94)