Cutting-Edge Technologies Jobs in New York City, NY

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

Director, Product Management - Consumer Data Products

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

Capital One is seeking a Product Management Director for Consumer Data Products. The role involves shaping the governance, strategy, and implementation of key data products, enabling successful launch of data products, and overseeing project management activities for critical initiatives within the consumer data team. The ideal candidate should be intellectually curious, a communicator and influencer, a do-er, passionate and customer focus, a learner, and a team player. Basic qualifications include a Bachelor's Degree and at least 7 years of experience in digital product management. Preferred qualifications include a Bachelor's Degree in Computer Science or Engineering, MBA or Master's degree, 5+ years of experience in Agile product management, and 5+ years of experience translating business strategy and analysis into consumer facing digital products.

Senior Data Engineer

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

J.P. Morgan Wealth Management - Private Client Advisor - Manhattan, NY (Upper Eastside)

Company: JPMorgan Chase

Location: New York, NY

Posted Jan 24, 2025

J.P. Morgan Chase is seeking a Private Client Advisor in Chase Wealth Management. The role involves offering comprehensive financial planning and advice to individuals and families, with a focus on relationship management rather than portfolio management. The ideal candidate should have at least 2 years of Financial Advisor experience, demonstrated success in client acquisition, and a valid Series 7 and Series 66 (63/65) license. Preferred qualifications include CFP® certification and a Bachelor's degree. The company offers a competitive total rewards package, including base salary, commission-based pay, and discretionary incentive compensation. J.P. Morgan Chase values diversity and inclusion, and is an equal opportunity employer.

Lead Data Software Engineer

Company: EPAM Systems

Location: Mexico City, Mexico

Posted Jan 24, 2025

Senior Associate, Product Manager-Retail Bank

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

Capital One is seeking a Senior Associate, Product Manager for their Retail Bank. The role involves working with cross-functional teams to deliver consumer experiences, focusing on understanding customer needs and using technology to solve financial problems. The ideal candidate is curious, a do-er, passionate, a communicator, a wrangler, and fearless. They should have at least 2 years of experience in digital industry, working with cross-functional teams, and on core product platforms. The company offers competitive salary, excellent benefits, and a supportive leadership environment. The role is based in McLean, VA or New York, NY with salary ranges of $109,000 - $124,400 and $118,900 - $135,700 respectively.

Production Designer - Messenger Design System

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a Production Design lead for the Messenger Design System team. The role involves building a world-class design system for a product used by 800 million users, working with industry-leading colleagues, and influencing user experience at scale. The ideal candidate should have prior industry experience in production design, proficiency in Figma, and familiarity with iOS, Android, and web design standards. They will work closely with product designers, content designers, and engineers to ensure high-quality, consistent, and cohesive design system components. The role offers a competitive salary, bonus, equity, and benefits.

Senior DevOps Engineer GCP

Company: EPAM Systems

Location: Mexico City, Mexico

Posted Jan 24, 2025

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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