Innovative Technology Jobs in New York City, NY

811,167 open positions · Updated daily

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

Production Specialist 3

Company: Flex

Location: Salt Lake City, UT

Posted Feb 03, 2025

Analyst, A/R OTC

Company: Warner Bros. Discovery

Location: Mexico City, Mexico

Posted Feb 03, 2025

Branch Office Administrator

Company: Edward Jones

Location: New York, NY

Posted Feb 03, 2025

Senior Houdini Technical Director

Company: Apple

Location: Culver City, CA

Posted Feb 03, 2025

Learning Effectiveness Operations Senior Manager, Global Customer Engagement Training (GCET)

Company: Pfizer

Location: New York City, NY

Posted Feb 03, 2025

The Learning Effectiveness Operations Manager role is crucial for the Global Customer Engagement Training (GCET) organization, which aims to provide world-class training for commercial customer-facing colleagues and leaders. The role involves managing operational portfolio, ensuring seamless delivery of training capabilities, and fostering partnerships with various departments. The manager is responsible for translating strategic objectives into operational plans, managing budget, and ensuring compliance with policies and processes. The role requires a BABS degree, at least 6+ years of experience in commercial training operations, and proficiency in Learning Management Systems.

SEO Audience Growth Analyst

Company: Sotheby's

Location: New York, NY

Posted Feb 03, 2025

Media Campaign Coordinator

Company: DISH

Location: New York, NY

Posted Feb 03, 2025

Regional Sales Director-Northeast

Company: Mast-Jägermeister US

Location: New York, NY / Remote

Posted Feb 03, 2025

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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