Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

Lead strategy, vision, and roadmap for a cross-functional squad across Everand and Fable. Drive product development for recommendations, search, and ranking systems, balance experiments and large investments, partner with engineering, design, research, and data to ship features that help readers discover books.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

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.

Own product and lifecycle growth marketing for Everand and Fable: define positioning and GTM, build and ship campaigns across email/push/in-app in Iterable, set metrics and tracking, iterate on messaging and targeting, and partner with Product and Brand to drive adoption and growth.

Lead frontend modernization by migrating legacy web apps into a microfrontend ecosystem, ship production-critical React/Next.js code, define reusable platform patterns, and collaborate cross-functionally to ensure performance, developer experience, and long-term maintainability.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

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.