Remote Jobs at Scribd

The ideal candidate will have experience in technical program management, specifically focusing on content operations and systems. They should possess strong cross-functional coordination skills, the ability to dive into diverse technical and operational systems, and experience in creating durable program artifacts. A systems thinker with a passion for driving initiatives and improving operational excellence is essential.

Candidates should have 4+ years of professional experience as a software engineer, excellent problem-solving and debugging skills, and a curiosity-driven mindset with a growth orientation. Experience with developer tooling CLIs, infrastructure as code and cloud automation (AWS, Terraform), application networking, traffic routing, CDN configuration, caching strategies, observability, performance profiling, and optimization is valued. A passion for improving developer experience and productivity, …

- Expertise in designing, building, and optimizing ML systems that scale to millions of users - Experience across the ML lifecycle: data ingestion, model training, deployment, and monitoring - Ability to create fast, reliable, and cost-efficient pipelines - Proficiency in building large-scale data ingestion, transformation, and validation pipelines on Databricks - Skills in training, evaluating, and deploying ML models (including generative models) to production using internal platforms and indu…

- Senior-level expertise in machine learning engineering, capable of leading design, architecture, and optimization of high-impact ML systems serving millions of users in near real time - Proficiency with tech stack: Python, Golang, Scala, Ruby on Rails; Airflow, Databricks, Spark; AWS Sagemaker, Weaviate, feature store, model registry, model serving platforms, LLM providers (OpenAI, Anthropic, Gemini); HTTP APIs, gRPC; AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform - E…

Candidates should possess strong backend development experience and a passion for solving complex data challenges at scale. Experience with Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS services (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch), Datadog, and Terraform is required. Familiarity with machine learning, data engineering, and distributed systems is also necessary.

Candidates should have at least 6 years of product management experience, with a minimum of 3 years in content moderation, trust & safety, or related risk management domains. A strong understanding of machine learning applications in content moderation, including natural language processing and computer vision for harmful content detection, is required. The ability to translate incomplete or conflicting information into actionable plans and deliver them efficiently, along with a focus on user pa…

- Expertise in machine learning engineering, including designing, building, and optimizing ML systems that scale to millions of users - Proficiency across the ML lifecycle: data ingestion, model training, deployment, and monitoring - Experience with large-scale data pipelines, ingestion, transformation, and validation (e.g., on Databricks) - Skills in training, evaluating, and deploying ML models, including generative models, using internal platforms and industry-standard frameworks - Ability to…

Candidates should have experience building and operating services in Go, Python, and Ruby, with a focus on creating fast, reliable, and cost-efficient pipelines. Experience with large-scale A/B and multivariate experiments is necessary, as is the ability to transform diverse datasets into actionable insights. Familiarity with generative AI for conversational recommendations, document understanding, and advanced search capabilities is also required.

- 3+ years of post-qualification experience developing machine learning models, working with systems at scale - Experience with machine learning models, including but not limited to NLP, LLMs, and generative models - Experience with classical Scikit-learn and NumPy models - Experience with custom Neural Networks in PyTorch - Experience with third-party LLM APIs - Familiarity with Python, SQL, and Spark - Experience with data analysis and visualization tools - Strong understanding of machine lear…

- 8+ years of backend engineering experience, with deep expertise in building and scaling distributed systems for financial or mission-critical workloads - Strong foundation in data modeling, transactional consistency, and high-throughput architectures - Hands-on SQL experience (e.g., MySQL, PostgreSQL) and familiarity with NoSQL and caching - Skilled in relevant backend technologies (inferred from context of payments systems)

- Expertise in translating product goals into metrics and owning measurable outcomes across recommendation surfaces - Experience leading roadmap bets and shipping lifts in business results - Proficiency in defining offline/online contracts end-to-end, designing and running experiments, diagnosing variant performance, and building prototype models - Ability to partner with Engineering to productionize models - Skills in mapping goals to metrics with clear success criteria, opportunity sizing, and…

- Deep experience building event-driven, distributed, and scalable systems in Python - Experience with AWS services such as Lambda, ECS, SQS, and ElastiCache - Experience with Airflow, Spark, Databricks, Terraform, and Datadog - Experience designing and deploying resilient, high-performance systems - Experience with monitoring, observability, and automated testing

- 6+ years solving complex problems, balancing user needs, business goals, and technical constraints - A portfolio that shows strategic thinking, measurable impact, and visual polish - The ability to turn ambiguity into action by asking questions and defining clear next steps - A systems mindset—designing with the bigger picture in mind - Curiosity and collaboration. You build momentum by bringing people along and see feedback

- 5+ years of experience in product management, with 2-3 years in a Growth role, preferably in a subscription business - Deep knowledge of growth experimentation tactics, with a strong understanding of the customer journey, and a proven track record of driving subscriber growth and retention - Strong proficiency in data analytics, A/B testing, experimentation, and funnel optimization - Experience developing pricing and packaging strategies that drive revenue growth and deliver strong global pric…

- 5–7 years of experience in product marketing, ideally in consumer or prosumer platforms involving knowledge, user-generated content, or learning - Proven ability to build narratives that reposition a brand or product category - Experience marketing AI-powered tools, UGC ecosystems, or content-driven products - Deep understanding of user journeys that involve learning, creating, and sharing knowledge - Comfort working with ambiguity and shaping narratives in evolving categories - Analytical min…