Top Tech Jobs & Startup Jobs in NYC, NY

The Product Manager will oversee user engagement and growth for an AI platform across native apps for iOS, Android, and macOS, focusing on onboarding and retention strategies.

The Brand Marketing Manager will develop, execute, and optimize media campaigns to increase brand awareness, collaborating with agency partners and internal teams, managing budgets, and analyzing campaign performance.

Support C-level decision-making and cross-functional initiatives by building financial models, optimizing pricing and packaging, conducting market and competitive analysis, and contributing to corporate development (fundraising, partnerships, M&A, investor relations).

The Social Content Creator will elevate the brand's presence on social media, create engaging content, and analyze performance trends. Responsibilities include developing tailored content for different platforms, collaborating with teams, and monitoring social media analytics.

As Head of Global Partner Ecosystem, you'll drive partner strategy, manage GSI relationships, lead a global team, and ensure revenue growth through strategic partnerships and operational excellence.

The Brand & Marketing Program Lead will manage and execute marketing initiatives, ensuring alignment across teams while driving engagement and growth with a focus on operational excellence and analytics.

The Internal Communications Manager will lead internal communication strategies, partner with executives, manage channels, and ensure clear messaging within the company.

As a Senior Software Engineer, you will enhance the platform's authentication, billing, and payment systems while adding features to the user interface. You'll be responsible for writing efficient code, ensuring high security and privacy standards, and managing software deployment processes.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.