Software Engineer (Backend), Content Foundations

Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long‑term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. About the Team & Role The Content Foundations team builds the systems that power how content is uploaded, processed, and delivered across Scribd products. This includes everything from ingestion, metadata extraction, early quality controls, and the core artifacts that power search, recommendations, AI/ML systems, and the reading and listening experience. Current focus areas include: Improvements to upload flow Content quality and early‑stage validation OCR and content extraction for downstream ML/LLM use cases Evolving content formats to support downstream AI workflows Making content and metadata more accessible for downstream systems to consume What You’ll Do Contribute to core content systems: Design and implement features within ingestion pipelines, metadata services, and content processing workflows, with guidance from senior engineers and the EM on scope and trade‑offs. Build reliable, observable systems: Implement production‑quality services that handle diverse file formats, malformed inputs, retries, asynchronous workflows, and edge cases. Collaborate across teams: Partner with ML Engineering, Search & Discovery, the Content Library squad, and Product to build systems that balance performance, scalability, and user experience. Improve content quality and discoverability: Work with ML and Discovery teams to enable improvements in metadata extraction, classification, and enrichment that power personalization and search. Leverage AI‑driven engineering practices: Use LLM‑based systems and AI coding agents in your day‑to‑day work, and share your learnings with the team. Grow your craft: Learn the domain deeply, take on increasingly ambitious problems, and develop your craft intentionally. Who You Are 4+ years of professional software engineering experience, including exposure to production‑scale systems. Experience with backend services, data pipelines, or content‑processing systems; depth in any one of these is enough. Comfortable working with messy data and building systems resilient to real‑world inputs. Proficient in at least one of Ruby, Python, or Go, and willing to ramp up on the others (our stack includes all three). Working familiarity with AWS (e.g., Lambda, SQS/SNS, S3) or similar cloud resources. Comfortable working with relational databases (SQL). Clear written and verbal communicator, able to collaborate with teammates and partner teams. Collaborative and curious, eager to learn from peers and contribute back. Nice-to-Have Experience with document formats (PDF, ebooks, markdown) and internals (parsing, OCR, transformation). Familiarity with ML/AI systems (embeddings, chunking, retrieval pipelines). Compensation At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $126,000 and $196,000. In the United States, outside of California, the reasonably expected salary range is between $103,500 and $186,500. In Canada, the reasonably expected salary range is between $131,500 CAD and $174,500 CAD. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job‑related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C. Canada: Ottawa, Toronto, Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools We want our interview process to be accessible to everyone. #J-18808-Ljbffr