Drive Innovation Jobs in Remote

221,076 open positions · Updated daily

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.

Staff Technical Program Manager

Company: Affirm

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Customer Lifecycle Marketing Manager

Company: Samsara Inc.

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

SAP Consultant PP

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Organizational Change Management Executive Advisor

Company: Kyndryl

Location: London, United Kingdom / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

District Manager, OnStar & Loyalty - New Jersey South (Cherry Hill, NJ)

Company: General Motors

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Lead Transmission Line Engineer

Company: Leidos

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

IT Applications Intern (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Product Counsel

Company: Abnormal Security

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Retention Solution Consultant

Company: ServiceNow

Location: San Diego, CA / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Account Marketing Manager

Company: GANNETT

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

VP, Quality Systems

Company: hims & hers

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse
industry leader in enterprise mobile security complete mobile threat defense system real-time on-device world-class protection

Customer Success Manager - London

Company: Zimperium

Location: Remote

Posted Jan 25, 2025

Zimperium® is seeking a Customer Success Manager in London to manage post-sale customer relationships, drive product adoption, and ensure high customer satisfaction. The role requires strong customer management experience, technical background, and domain expertise in mobility and security. The candidate will collaborate with internal teams, address customer issues, and travel regionally as needed.

View Details Apply on BuiltIn

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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