Drive Innovation Jobs in Remote

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Looking for Drive Innovation jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Drive Innovation 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.

Application Security Engineer L4/L5

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Security Platforms Engineering team builds foundational security services and drives key Application Security initiatives. The role is for a Security Software Engineer with an Application Security focus, working remotely in Poland. The ideal candidate should have strong software development experience, deep application security expertise, and the ability to design scalable security solutions.

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.

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) - 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.

Business Acceleration Partner

Company: Odaia Intelligence Inc.

Location: Remote

Posted Nov 19, 2025

ODAIA is a remote-first organization that partners with pharma commercial teams to grow brands and engage healthcare professionals. Their AI platform turns complex data into personalized insights, enabling informed decisions. They value simplicity, innovation, and building an egofree business. The Business Acceleration Partner role leads customer experience, focusing on data strategy, project planning, and ROI.

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.

Frequently Asked Questions

What are typical salary ranges for Drive Innovation roles by seniority?
Junior R&D Engineer or Associate AI Engineer: $80k‑$120k. Mid‑level AI Engineer or Edge Developer: $120k‑$170k. Lead Engineer, Solutions Architect, or Innovation Lead: $170k‑$220k. Senior roles in quantum or blockchain can exceed $220k depending on location and expertise.
What skills and certifications are required for Drive Innovation positions?
Core programming in Python, Rust, or Go; ML frameworks TensorFlow, PyTorch, JAX; container orchestration with Docker/Kubernetes; cloud IoT platforms such as AWS IoT Core, Azure IoT Hub, or Google Cloud IoT; edge runtime environments like EdgeX Foundry; quantum SDKs Qiskit or Cirq; blockchain platforms Hyperledger Fabric or Ethereum; certifications like AWS Certified Machine Learning – Specialty, Certified Kubernetes Administrator, Qiskit Certified Developer, or Certified Blockchain Professional (CBP).
Is remote work available for Drive Innovation jobs?
Yes. Most Drive Innovation listings allow full‑remote or hybrid arrangements, especially for software‑centric roles. Remote work is feasible for tasks that involve development, testing, and cloud deployments; on‑site visits are typically limited to hardware integration or customer demos.
What career progression paths exist within Drive Innovation?
Typical progression: Junior Engineer → Senior Engineer → Lead Engineer/Tech Lead → Solutions Architect or Data Science Lead → Director of Innovation or VP of Emerging Technologies. Each step adds strategic ownership, cross‑team leadership, and product‑market alignment responsibilities.
What industry trends are shaping Drive Innovation?
Key trends: edge AI powered by 5G enabling real‑time inference; quantum machine learning moving from research to pilot projects; IoT security standards like CIP‑V4 and SIEM integration; blockchain for immutable audit trails; and the rise of AI‑driven automation in supply chains. Companies are also investing in low‑code ML platforms to accelerate deployment.

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