Top Tech Jobs & Startup Jobs in New York City, NY

The role involves leading the development of iOS applications, collaborating with various teams, mentoring, and sharing best practices to enhance product delivery.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead engineering excellence and innovation in cybersecurity solutions, mentoring teams and guiding technical direction in Data Protection and Endpoint Security.

The Product Designer, Principal Associate role involves creating innovative product experiences, leveraging design expertise, understanding business strategies, and collaborating with teams to enhance customer interactions. Responsibilities include using design tools, championing customer needs, and problem-solving within tech constraints.

As a Senior Manager, Data Scientist, you will lead a team to develop generative AI solutions and build machine learning models, enhancing customer experiences and operational efficiency.

The Principal Product Designer will enhance product experiences by leading design efforts, collaborating with cross-functional teams, and applying human-centered design principles.

The role involves leading product management for AI/ML solutions, ensuring customer focus, technological innovation, and solving complex problems collaboratively.

The role involves managing product development for Card Acquisitions, focusing on data strategy and innovative customer experiences. Responsibilities include collaborating with tech teams, conducting research, and owning feature roadmaps.

As a Senior Lead Data Engineer at Capital One, you'll lead development efforts in cloud-based solutions, foster collaboration across Agile teams, and drive data technologies adoption. You'll leverage tools and languages like Java and Python while mentoring other engineers.

The role involves partnering with teams to deliver AI products, leveraging technologies for insights, and building machine learning models, focusing on NLP and LLMs in a production environment.