Ai-Enhanced Technology Jobs in New York City, NY

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

Relationship Manager

Company: Versana

Location: New York City, NY

Posted Jan 26, 2025

Versana, a fintech company, is seeking a seasoned Relationship Manager to join their Sales team. The ideal candidate should have a sales and technical background, with 4-10 years of experience in financial markets data or technology sales. Key responsibilities include driving revenue, maintaining a robust sales pipeline, accelerating customer adoption, and conducting product demonstrations. The candidate should possess excellent problem-solving skills, communication abilities, and an entrepreneurial spirit. Syndicated Loan sales experience and international sales experience are nice to have.

Lead Product Manager, Mobile Push

Company: Attentive

Location: New York City, NY

Posted Jan 26, 2025

Attentive is an AI-powered mobile marketing platform that enables brands to personalize consumer engagement, driving higher recurring revenue and maximizing campaign performance. The platform activates real-time data from multiple channels and advanced AI to personalize content, tone, and timing. Attentive has been recognized by Deloitte's Fast 500, LinkedIn's Top Startups, and Forbes Cloud 100. The company is seeking a Product Leader to spearhead the strategic development of their Mobile Push product, a critical new channel. The ideal candidate should have 6+ years of experience as a Product Manager, be research-focused, customer-obsessed, and have a deep understanding of enterprise GTM strategies and their intersection with product development.

Entry-Level Commercial Real Estate

Company: Marcus & Millichap

Location: Salt Lake City, UT

Posted Jan 26, 2025

Marcus & Millichap, the nation's largest commercial real estate investment sales firm, is hiring entry-level agents for remote onboarding and training. The role offers significant earning potential, thorough training, mentorship, and coaching. Agents will research, prospect, network, and negotiate deals, with no real estate experience or license required for the initial interview. The firm's proven agent development model provides long-term career growth opportunities.

Staff Data Scientist - New York City

Company: Aircall

Location: New York City, NY

Posted Jan 26, 2025

Aircall is a company that values its employees and their voices, with a strong focus on data-driven decision making. They are seeking a visionary Staff Data Scientist to lead initiatives that leverage AI and machine learning to optimize operations and drive business success. The company offers a competitive salary package, comprehensive benefits, and a diverse and inclusive work environment.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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