Scribd jobs

VP of Data & Analytics at Scribd, a digital content platform with four product lines (Scribd, Slideshare, Everand, Fable). This is a leadership role overseeing Product Analytics, Data Science, and Analytics Engineering disciplines across all four brands. Responsibilities include building strategic partnerships, operating models, and infrastructure for measurement, experimentation, and causal inference. Salary not disclosed. Scribd Flex allows remote work but requires occasional in-person attendance; multiple office locations. This is an executive analytics/strategy role, not engineering.

Director, IT & Corporate Sec Security at Scribd, leading corporate IT, digital workplace, and security operations. Responsibilities include IT strategy, infrastructure reliability, security, team leadership, and responsible AI adoption. Remote-eligible with occasional in-person required. Scribd is a content/knowledge platform with 250M+ monthly visitors.

Scribd is hiring a Senior Software Engineer for its ML Data Engineering team, which powers metadata extraction and content enrichment across its document, audiobook, and image platforms serving billions of users globally. You'll design and optimize large-scale event-driven distributed systems in Python running on AWS (Lambda, ECS, SQS, ElastiCache), working with Airflow, Spark, and Databricks to support metadata pipelines, ML model integration, and LLM-based solutions at massive scale. Required: 7+ years backend/distributed systems experience, 5+ years Python, strong AWS expertise, infrastructure-as-code (Terraform), system performance optimization, and technical leadership/mentoring skills; a CS degree or equivalent is expected. Bonus skills include Spark/Databricks and production ML/LLM integration experience. Compensation is location-dependent, ranging from $120k–$217k USD outside California and $146.5k–$228k in California, plus equity and comprehensive benefits; the role offers Scribd Flex (flexible work) with occasional in-person requirements across US, Canadian, and Mexican office hubs. This is a technical leadership role requiring proven ability to architect and mentor across complex, production-scale systems processing hundreds of millions of documents.

Scribd is hiring a Software Engineer II for the ML Data Engineering team, which powers metadata extraction and content understanding across its four product brands (Scribd, Slideshare, Everand, Fable) at massive scale. You'll design and optimize event-driven, distributed Python-based systems running on AWS to process hundreds of millions of documents and billions of images, building scalable APIs and backend services that integrate machine learning and LLM components. This role requires 5+ years of professional software engineering experience with 3+ years of Python proficiency, proven expertise building distributed event-driven systems, hands-on AWS experience (ECS, Lambda, SQS, etc.), and infrastructure-as-code skills with Terraform. The position offers competitive base salary ($126K–$196K in California, $103.5K–$186.5K elsewhere in the US), equity, and comprehensive benefits including Scribd Flex (flexible work model with occasional in-person requirements). The role is located in one of Scribd's approved US metros (SF, NYC, Austin, Denver, etc.), Canada, or Mexico City, with opportunity to work on cutting-edge generative AI and metadata enrichment problems at global scale.