Exceptional Service Jobs in Remote
Looking for Exceptional Service jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Exceptional Service position in the Remote area.
Security Software Engineer (L5) - Client Security Integrations
Company: Netflix
Location: Remote
Posted Nov 19, 2025
The text describes Netflix's global entertainment services, security integrations, job opportunities, employee benefits, and commitment to diversity. It highlights the company's infrastructure, security strategies, and workplace culture while outlining compensation structures and inclusion initiatives.
Sr Manager-Software Engineering-EDI
Company: American Specialty Health Incorporated
Location: Remote
Posted Nov 19, 2025
This job posting seeks a Sr Manager Software EngineeringEDI for American Specialty Health's IT department, emphasizing remote work requirements, technical qualifications, and project management responsibilities. The role involves leading software development initiatives, ensuring compliance with healthcare standards, and managing team performance in a hybrid work environment.
Sales Development Representative
Company: Dscout
Location: Remote
Posted Nov 19, 2025
Dscout is a flexible experience research platform that helps leading brands like Sonos, Spotify, Duolingo, and Best Buy capture in-context insights from high-quality participants. They are expanding their team and seeking a Sales Development Representative to work with innovative companies, build sales funnels, and advance qualified leads through the sales pipeline. Dscout offers a competitive compensation package, benefits, education stipend, and remote work stipend.
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.
Customer Success - Team Manager
Company: Canonical
Location: Remote
Posted Nov 19, 2025
Canonical promotes itself as a leading open-source provider with global impact, offering a remote role in Customer Success Team Management. The position emphasizes growth, collaboration, and innovation in a distributed work environment with opportunities for travel and professional development.
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.
Billing Invoice Product Manager
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company offers a wide variety of TV series, films, and games across different genres and languages. Netflix provides a flexible and consumer-friendly billing experience, ensuring transparency, compliance with local regulations, and adaptability to evolving business models. The Billing Invoice Product Manager role is crucial in enhancing Netflix's billing and invoicing systems, collaborating with cross-functional teams to ensure compliance and effective integration with other consumer platforms.
Vice President of People Operations & Talent Acquisition
Company: Modern Health
Location: Remote
Posted Nov 19, 2025
The Vice President of People Operations and Talent Acquisition will lead the People Team, oversee compensation, benefits, payroll, and HRIS, drive talent acquisition strategies, and champion diversity, equity, and inclusion. The role requires 10+ years of HR experience, expertise in compensation and talent acquisition, and a passion for Modern Health's mission.
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.
Data Engineer (L5)
Company: Netflix
Location: Remote
Posted Nov 19, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They focus on delivering high-quality streaming content across various genres and languages, while continuously improving the user experience. Netflix also emphasizes the importance of data in decision-making and relies on data engineers to build systems for processing and modeling data across various domains.
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.