Drive Innovation Jobs

717,682 open positions · Updated daily

The surge in AI, IoT, and edge computing has made Drive Innovation roles the pulse of the tech sector. Companies across finance, healthcare, and manufacturing are investing millions in autonomous decision‑making and real‑time analytics, creating a shortage of talent that can build and scale these systems. Demand for engineers who can turn data into actionable insights at the edge is higher than ever, and the pay reflects that urgency.

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Typical Drive Innovation positions include AI/ML Engineers, Edge Solutions Architects, IoT Product Managers, Quantum Algorithm Developers, and Blockchain Infrastructure Engineers. These roles require crafting end‑to‑end pipelines—from training models in Kubernetes clusters to deploying TensorFlow Lite on Raspberry Pi gateways, from writing Rust‑based firmware for 5G‑enabled sensors to authoring smart‑contract logic in Solidity for supply‑chain tracking. Cross‑functional collaboration with hardware teams, data scientists, and cybersecurity specialists is essential.

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Salary transparency is critical for Drive Innovation professionals because the skill set is highly specialized and the market fluctuates quickly. Knowing the exact compensation ranges for roles like Senior AI Engineer or Edge Lead allows candidates to target opportunities that match their expertise and negotiate confidently. Transparent pay also signals organizational commitment to fairness, attracting talent that will drive long‑term innovation.

Strategic Account Manager

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a strategic account manager role at IBM Software, emphasizing opportunities to transform customer challenges into industry-leading solutions, collaborate with a dedicated team, and drive sales of cloud-native software. It highlights responsibilities like managing enterprise accounts, executing solution selling, and aligning with customer needs while requiring expertise in cloud infrastructure and strategic sales.

Application Developer-MuleSoft

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for growth through strategic partnerships and continuous learning.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers focusing on automation testing, requiring expertise in software testing processes, programming languages, and tools. It emphasizes technical skills, education requirements, and responsibilities related to test automation and continuous delivery.

SAP PP Team Leader

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's consulting roles emphasize collaboration with clients, SAP expertise, and team leadership for impactful career growth. The position highlights opportunities to innovate, optimize supply chains, and leverage technology platforms while fostering professional development in a supportive environment.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting, emphasizing global collaboration, innovation in hybrid cloud and AI, and opportunities to impact clients through technical expertise. It outlines responsibilities, required skills, and career growth, highlighting the role's significance in transforming business needs into solutions for IBM and its clients.

IBM Maximo (MAS) Infrastructure Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities through technical expertise and strategic partnerships.

Product Manager Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The role involves defining AI product strategies, collaborating across teams, and ensuring ethical practices. Required skills include product management fundamentals, Agile methodologies, and data analytics expertise.

FP&A JR Financial Analyst

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This job description highlights a role within a growing semiconductor sector team, emphasizing opportunities for professional development, collaboration, and impactful financial responsibilities. The position offers exposure to advanced financial systems and processes, with a focus on analytical skills and teamwork in a dynamic environment.

Internship - Software Developer - Db2 AI Optimizer (f,m,x)

Company: IBM

Location: Ehningen, DE

Posted Dec 09, 2025

IBM Software seeks a backend developer to contribute to AI-powered cloud-native solutions, focusing on query optimization and machine learning. The role offers growth opportunities with a team dedicated to innovation and enterprise-scale data processing.

Managing Consultant - SAP S/4HANA FI (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, innovation in hybrid cloud and AI, and career development opportunities. It emphasizes collaboration with global clients, technical expertise in SAP S4HANA, and a supportive work environment for professional growth.

Associate Product Manager in Business Automation (f/m/x)

Company: IBM

Location: Boeblingen, DE

Posted Dec 09, 2025

IBM offers a career in transformative software solutions, focusing on AI-driven innovations. The role involves cross-functional collaboration to deliver exceptional customer value, requiring technical expertise and adaptability.

Contact Center Practitioner

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

The text describes a role at IBM's consulting client innovation centers, emphasizing opportunities to solve complex problems, provide customer service, and work in a dynamic environment with technical expertise and global client collaboration.

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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