Top Tech Jobs & Startup Jobs in NYC, NY

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Design and enhance end-to-end user experiences for an eCommerce platform, collaborating with product and R&D teams to implement innovative UI/UX solutions.

The Senior Software Engineer will design scalable APIs, improve cloud infrastructure, enhance CI/CD workflows, and collaborate with partners to ensure system resilience.

Manage legal contracts and operations at Sift, collaborating with sales teams, optimizing processes, and negotiating contracts to enhance efficiency.

The Lead Data Engineer will design and build scalable data pipelines and infrastructure for trading analytics, overseeing data architecture and collaborating with cross-functional teams.

As a Pre-Sales Engineer, lead product demonstrations, support the sales cycle, customize demo experiences, and engage with clients to influence buying decisions.

The role involves building DevSecOps tools and processes, mentoring developers, implementing CI/CD pipelines, and maintaining automation for efficient software delivery.

The Director of Product Management will lead the Sample Management Solutions business, focusing on product roadmaps, commercial success, and team management. Responsibilities include driving product development, strategy execution, market research, and maintaining cross-functional collaboration.

The Payroll & Benefits Manager will oversee payroll processing, benefits administration, and equity management, ensuring compliance and enhancing employee experience.

Develop, test, and improve the OT Security Platform as part of the Microsegmentation Product Team, ensuring high-quality software and architecture.

As a Senior Pre-Sales Solution Architect, you will engage with federal customers to design cybersecurity solutions, manage deployments, and enhance national security through effective sales strategies.

The Principal Strategic Alliances Manager will manage Dragos' partnership with Accenture, focusing on strategy, coinnovation, and go-to-market execution to increase revenue opportunities and align offerings.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

The Director of Data Lake and Integration leads technical strategy for enterprise data lake, aligning with business goals, overseeing data integration and modeling, and ensuring data availability for decision-making.