Innovative Technology Jobs in New York City, NY

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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.

Analyst, Data Products

Company: NBCUniversal

Location: New York, NY

Posted Sep 04, 2025

Familiarity with tools such as Excel and SQL for data analysis and manipulation. Bachelor’s degree or equivalent experience in a related field (e.g.: Business,…

Product Manager, Stablecoin

Company: Ripple

Location: New York, NY

Posted Sep 04, 2025

Ability to understand both business needs and technical requirements and communicate across different teams. Familiarity with blockchain/ crypto, payments, and/…

Crypto Developer

Company: Eclerx

Location: New York, NY

Posted Sep 04, 2025

Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience). A Crypto Developer specializing in Java and Angular JS plays…

AI/ML Cloud Architect (RapidScale)

Company: Cox Communications

Location: New York, NY

Posted Sep 04, 2025

Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and…

Senior GCP Solutions Architect, Cloud Intelligence

Company: Amazon Web Services, Inc.

Location: New York, NY

Posted Sep 04, 2025

As a Senior Google Cloud Platform (GCP) Cloud Intelligence (CI) SA you will be a leader with deep technical and business expertise influencing the AWS field on…

Threat Context Analyst

Company: Microsoft

Location: New York, NY

Posted Sep 04, 2025

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 1+ year(s) experience in data…

Staff Software Engineer-Front End

Company: Intuit

Location: New York, NY

Posted Sep 04, 2025

The expected base pay range for this position is: New York $197,000.00 - 266,500.00This position will be eligible for a cash bonus, equity rewards and benefits,…

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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