Drive Innovation Jobs in New York City, NY

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Looking for Drive Innovation jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Drive Innovation position in the New York City, NY area.

Medical Affairs Client Lead

Company: ZS

Location: New York, NY

Posted Jan 23, 2025

Product Manager, New Accounts

Company: Robinhood

Location: New York, NY

Posted Jan 23, 2025

Robinhood Markets, a leading fintech company, is seeking a product manager to lead a team in building and launching large-scale new products. The role involves understanding customer needs, establishing product vision, and fostering a culture of ambition and iteration. The company offers competitive compensation, benefits, and a lively office environment. The preferred locations are Menlo Park, CA or New York, NY.

Pharmacy Intern - Grad

Company: CVS Health

Location: Buffalo, NY

Posted Jan 23, 2025

Vice President, Business Development

Company: Mastercard

Location: Mexico City, Mexico

Posted Jan 23, 2025

Director of Supervisory Efficiency & Oversight

Company: Morgan Stanley

Location: New York, NY

Posted Jan 23, 2025

Morgan Stanley, a leading global financial services firm, seeks a candidate for the Supervisory Efficiency & Service Platform Oversight team within the Field Service organization. The role involves supporting governance processes, strategic initiatives, and risk management for field service roles. Key responsibilities include driving the development of the supervisory framework, supporting the Field Service Employee Supervision Committee, designing conduct supervisory controls, and maintaining policy updates. The ideal candidate should have a BA/BS, 5+ years of financial services experience, preferably in Wealth Management or risk/compliance, and strong project management or governance experience. Proficiency in Microsoft Office is required. The role offers a base pay between $110,000 and $185,000 per year, with potential for additional compensation. Morgan Stanley is committed to diversity and equal employment opportunity.

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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