Challenging Opportunities For You To Learn And Grow Professionally Jobs in New York City, NY

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the New York City, NY area.

Senior Accountant /Trainee 1-2 (NY HELPS) Vacancy ID# 192794

Company: State, Department of

Location: New York, NY

Posted Jul 21, 2025

Minimum Qualification Substitutions: A master's degree in accounting, auditing, or taxation and one year of professional experience in accounting/auditing or…

AI Solutions Lead

Company: ASAP Talent Services

Location: Redwood City, CA

Posted Jul 21, 2025

Partner with engineering and product teams to integrate AI features into existing SaaS products or develop standalone services. Full-time Home Office w/Travel.

Plumber

Company: Foxmechanical corp

Location: Manhattan, NY

Posted Jul 21, 2025

•* *Mechanics (minimum 5 years of experience)*. •* *Junior Mechanics (minimum 3 years of experience)*. *Please call between 8:00 AM and 6:00 PM 646-725-9955*.

Sr. Sales& Marketing Manager- Specialty Chemicals

Company: Pasona N A, Inc.

Location: New York, NY

Posted Jul 21, 2025

Conduct cost and cash flow analysis to determine competitive pricing strategies. Responsible for driving sales, marketing, and business development in the…

Luxury Sales Associate - Peserico Bloomingdale's 59th Street Part time

Company: Peserico

Location: New York, NY

Posted Jul 21, 2025

Responsible for not only driving sales, but ensuring all stores teams are building and developing client relationships.

Bilingual (English/Spanish) Chief Marketing Officer

Company: Confidential

Location: New York, NY

Posted Jul 21, 2025

As CMO, you will play a crucial role in enhancing brand awareness, increasing market share, and driving revenue growth through effective marketing initiatives.

Staff Accountant

Company: Just Salad

Location: New York, NY

Posted Jul 21, 2025

Treasury operations, including wire transfers, check payments, stop payments, check voids, and bank sweeps. Assist with the implementation of new ERP system.

Senior Vice President- Product Marketing Manager

Company: BNY

Location: New York, NY

Posted Jul 21, 2025

Bachelor’s degree in marketing, business, communications, or related field; master’s degree preferred. Creative thinker with a passion for driving innovation…

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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