Jobs at Scribd, Inc.

Build and operate customer-facing frontend experiences for search, recommendations, and generative AI. Own software development end to end, including architecture, implementation, testing, delivery, observability, and long-term evolution. Collaborate with backend, machine learning, product, and design teams; review code, advise on technical designs, participate in interviews, and mentor engineers. Improve performance, scalability, accessibility, maintainability, and developer experience across complex frontend systems.

Leads product design for Everand and Fable growth initiatives, designing onboarding, pricing, referrals, lifecycle, and subscription experiences. Partners with Product, Research, Engineering, Data, and Marketing to identify opportunities, run experiments, improve conversion and retention, and ship polished work. Uses research, competitive insights, data, prototyping, usability testing, and AI to guide decisions. Provides vision and strategy across growth and lifecycle while mentoring and collaborating with other designers.

Leads technical direction for Everand’s backend platform, including architecture, reliability, observability, CI/CD, databases, queues, and scalable distributed systems. Partners with product, design, analytics, web, mobile, and ML teams to deliver personalized reading and listening experiences. Mentors engineers, drives architecture reviews and modernization efforts, improves technical quality, and owns platform health, performance, cost, and resilience.

Lead cloud security architecture across AWS and GCP, strengthening identity, access management, workload protection, encryption, secrets management, and secure deployment paths. Build Terraform and policy-as-code guardrails, improve cloud threat visibility and detection, support threat hunting and incident response, and drive strategic security initiatives across engineering teams. Provide technical leadership, mentorship, and guidance while delivering measurable security improvements at scale.

Own iOS technical direction for Everand and Scribd growth, retention, and monetization features. Build subscription, paywall, and in-app purchase flows using StoreKit; ship experiments; integrate APIs; improve stability and reduce technical debt. Collaborate with backend, web, and Android teams, lead technical initiatives, and mentor engineers while delivering scalable Swift applications.

Build and scale fullstack Growth Platform systems, including self-service marketing tools, experimentation infrastructure, and customer and event-data integrations. Develop frontend and backend features, design and consume APIs, ensure scalability and maintainability, and collaborate with marketers, analysts, lifecycle teams, product managers, and engineers. Contribute to technical design, code reviews, testing, and process improvements while supporting attribution, data activation, and customer engagement.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads performance and organic growth strategy across paid search, paid social, affiliate, SEO, and LLM-driven discovery for three brands. Manages channel experts, budgets, attribution, reporting, experimentation, and marketing technology to optimize acquisition efficiency and ROI. Partners with brand and creative teams on integrated campaigns, develops emerging channels, and applies data, AI tools, and unit economics to drive profitable growth.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

Lead the recommendations product across candidate generation, ranking, and presentation for Scribd. Define multi-year strategy and metrics, translate retrieval and ranking research into production, run experiments to improve engagement and conversion, partner with ML, engineering, design, and analytics, and communicate roadmap and impact to stakeholders.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.

Design, develop, and deploy machine learning and NLP solutions at scale. Work with cross-functional teams to build content classification, representation learning, search, and recommendation models using classical ML, deep learning, and LLMs. Process large datasets with Python, SQL, and Spark, and communicate results to stakeholders with clear documentation.

Lead and scale paid social advertising across Meta, TikTok, Reddit, and emerging platforms to drive user acquisition for subscription products. Own budgets, audience targeting, structured testing, creative collaboration, AI-accelerated experimentation, analytics, attribution and incrementality work, and conversion rate optimization across landing pages. Communicate results and build reusable playbooks for the performance marketing team.