Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Data Engineer will design and execute data management strategies, build cloud solutions, develop data pipelines, and ensure data quality and integrity.

Lead the strategy and modernization of New Business Operations products, manage a team of Product Owners, and ensure high-quality delivery in a complex, cross-functional environment.

Manage and evolve the enterprise CMS, drive content strategy, collaborate with product managers, and ensure alignment of design-to-development capabilities.

As a Senior Product Designer, you'll design user-friendly tools for New York Life agents, focusing on enhancing workflows and collaboration with cross-functional teams.

The VP is accountable for strategy, delivery, and performance of corporate functions technology, managing a large application portfolio and leading a team of 100. Responsibilities include stakeholder engagement, technology portfolio management, and driving digital innovation.

Lead transformative design initiatives and develop digital product design strategies to enhance customer experiences and drive business outcomes, collaborating with cross-functional teams.

The Technology Recruiter will manage full life cycle recruiting for technology positions, focusing on strategic talent acquisition and building diverse candidate pipelines. Responsibilities include collaborating with hiring managers, executing sourcing strategies, and promoting inclusive hiring. Requires 8+ years of experience in technology recruitment with a focus on innovation and strategy.

Lead organizational transformation by developing change management strategies, collaborating with stakeholders, and implementing process and technology changes to enhance business outcomes.

The Head of Enterprise Architecture leads technology strategies and solutions, promotes emerging technologies, and fosters collaboration between business and IT teams to enhance client experiences.

The role involves model validation, monitoring AI model performance, challenging model developers, and translating technical requirements into practical evaluations and controls for AI and ML models.