Competitive Salary Range Jobs in Remote

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Looking for Competitive Salary Range jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Competitive Salary Range position in the Remote area.

Staff Content Designer - Evidence and Messaging Systems

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The role involves ensuring members have the right information to discover and decide on content. Success is measured by members effortlessly understanding if a title is right for them and seamlessly planning for and engaging with timely content.

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.

Marketing Manager

Company: Skyrocket Studios

Location: Remote

Posted Nov 19, 2025

The job description outlines a senior digital marketing role responsible for developing and executing comprehensive digital marketing strategies across various channels including social media, SEO, paid search, video advertising, email marketing, and influencer marketing. The position requires strong leadership skills to mentor a team, manage client presentations, and stay updated on industry trends and innovations.

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.

Data Scientist (L5) - Ads (Forecasting)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They are creating a new lower-priced ads-supported tier and seeking founding members for this business area. The Ads Data Science and Engineering team aims to build the foundation of the ads business, conduct analyses, develop tools, and create predictive models to provide more choices for members and a better experience for advertisers.

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.

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.

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.

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.

Frequently Asked Questions

What are the typical salary ranges by seniority for Competitive Salary Range roles?
Entry‑level engineers and analysts typically earn $70k–$100k. Mid‑level professionals command $100k–$150k. Senior engineers and architects range from $150k–$200k. Lead or principal positions fall between $200k–$250k, while directors, VPs, and senior leadership can earn $250k–$350k, depending on industry, geography, and technical depth.
Which skills and certifications are required for Competitive Salary Range positions?
Core technical skills include Python, Java, or Go; cloud platforms such as AWS, Azure, or GCP; containerization with Docker and Kubernetes; infrastructure‑as‑code tools like Terraform; and data science frameworks like TensorFlow or PyTorch. Certifications that boost credibility are AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator, and CISSP or CEH for security roles.
How common is remote work for Competitive Salary Range roles?
Approximately 80% of positions in this category offer fully remote or hybrid arrangements, especially for cloud, AI, and DevOps roles. Remote‑first companies such as HashiCorp, Snowflake, and Databricks list all 5,261 roles with a remote option, allowing candidates to choose locations that match their desired compensation band.
What are the typical career progression paths within Competitive Salary Range roles?
A common trajectory starts with Junior Engineer → Engineer → Senior Engineer → Lead Engineer/Principal → Architect → Engineering Manager → Director/VP. Progression timelines vary but usually span 2–4 years per promotion; moving from a mid‑level engineer to a senior role often takes 3–5 years, while reaching a director level can take 8–10 years of experience and proven project leadership.
What industry trends are shaping Competitive Salary Range roles?
Key trends include accelerated AI/ML adoption (70% increase in enterprise AI spend), cloud‑native architecture expanding into edge computing, the rise of low‑code platforms, and heightened demand for cybersecurity talent due to a 30% rise in ransomware attacks. Companies are also investing in 5G and IoT integration, driving new roles that blend network engineering with data analytics.

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