Technical Leadership Jobs in Remote
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Looking for Technical Leadership jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Technical Leadership position in the Remote area.
Games Reliability Manager
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They are seeking an experienced Game Reliability Manager to ensure their games meet high standards of quality and technical health. The role involves collaborating with various teams to uphold and advance reliability standards, manage incident response, and drive continuous improvement processes.
Software Engineer L4/L5 - Model Serving Systems, Machine Learning Platform
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix promotes its leadership in entertainment services and AI innovation, highlighting opportunities for engineers to develop scalable systems and contribute to ML/AI advancements. The role emphasizes cross-functional collaboration, technical expertise, and comprehensive benefits.
Security Engineer (L4) - Identity
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a skilled Identity and Access Management (IAM) engineer to design and build security solutions for its global workforce and partners. The role requires expertise in IAM fundamentals, experience with vendor IAM solutions, and strong communication skills.
Senior Front End Engineer - Experimentation
Company: Reddit
Location: Remote
Posted Nov 19, 2025
Reddit is rapidly innovating and growing, with the Experimentation Platform being a critical accelerant. The team is seeking a Senior Software Engineer to help build a world-class experimentation platform, with challenges including designing a UX for product teams, developing high-scale data products, increasing developer efficiency, and collaborating cross-functionally. The role offers the opportunity to work with teams across Reddit and have a huge impact.
Big Data Manager - Professional Services
Company: Databricks
Location: Remote
Posted Nov 19, 2025
The job posting is for a Big Data Manager position in the Professional Services team. The role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology projects. The ideal candidate should have extensive experience with Big Data technologies, people management skills, and experience working across multiple cloud platforms.
Manager - Data Protection
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is expanding globally and into new products like games. Netflix is committed to fostering user trust and transparency while balancing business needs. The Privacy & Data Protection Engineering team ensures responsible data use and provides confidence that privacy and security risks are managed across the company.
Data Scientist (L5) - Performance Marketing
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix promotes its growth as a global entertainment leader with 300 million members, emphasizing original content and data-driven strategies. The job description highlights opportunities for senior data scientists to impact marketing decisions through analytics and innovation.
Support Solutions Engineer - Big Data (L5)
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Engineering Support Organization empowers Data Platform Engineering to scale customer support effectively. The role is a Support Solutions Engineer position based in Warsaw, requiring experience in big data technologies and customer-facing engineering support.
Data Scientist (L5) - Mobile & Search
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Member Experience Data Science and Engineering team drives innovations in Netflix's core product experience through data, collaboration with Product and Engineering teams, and leveraging emerging technologies. The role involves shaping the direction of Netflix's core product on Mobile, driving product innovation, and ensuring a coherent overall product experience for members.
Machine Learning Scientist (L4/L5) - Studio Media Algorithms
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Media Algorithms team focuses on innovation to enhance creator tools and increase member value. The company is seeking a Research Scientist with expertise in computer vision, natural language processing, or computer graphics to develop core algorithms for content creation tools.
Machine Learning Engineer 5 - Platform Forecasting & Optimization
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Machine Learning Engineer to join their data organization and work on improving the performance, reliability, and efficiency of their infrastructure systems. The ideal candidate will have experience in developing and implementing machine learning models, working with large distributed cloud systems, and optimizing infrastructure footprint.
Engineering Manager - Title and Launch Management
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix. The company is forming a new team within TLM to automate large-scale content ingestion, replacing existing manual processes. The team will collaborate closely with many partners and stakeholders to orchestrate ingestion, validation, and conformance of assets and metadata across many domains.