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 Analytics

Company: paypal

Location: New York, NY

Posted Aug 02, 2025

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account…

University Grad 2026: Software Engineer

Company: Ramp Financial

Location: New York, NY

Posted Aug 01, 2025

Graduating with a B.S. (or higher) in Computer Science or a related technical field; this role is ideal for a candidate with an expected graduation date in or…

Business Intelligence Analyst

Company: Paramount+

Location: New York, NY

Posted Aug 01, 2025

The role requires the ability to translate data into clear, actionable insights and recommendations using media mix modeling, cross platform attribution tools,…

Executive Sous Chef

Company: Filé Gumbo Bar

Location: New York, NY

Posted Aug 02, 2025

Navigate and troubleshoot Toast POS system for kitchen operations. Monitor food costs and portion control to meet budget targets. Paid time off and sick leave.

Customer Success Manager

Company: Imagine Learning

Location: New York, NY

Posted Aug 02, 2025

Travel:* You can also expect up to approximately 30% travel, so be sure you have a valid driver’s license and automobile insurance and a clean driving record…

2026 Data & Analytics - Data Specialist - Summer Analyst - United States

Company: JPMorganChase

Location: New York, NY

Posted Aug 02, 2025

Familiarity with data analysis tools and programming languages (e.g., SQL, Python) is a plus. Collaborate with team members to identify project risks and…

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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