Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Consulting Engineer will support customer needs through software implementations, training, and act as a trusted advisor, collaborating on MongoDB usage and product development.

Design and build security controls for MongoDB Atlas multi-cloud infrastructure. Collaborate with teams to ensure highest security standards and lead projects on scalable security services.

As a Software Engineer 3, you will design and build features for MongoDB's Internal Developer Portal, improve workflows, and implement scalable applications using various technologies.

The Director will lead initiatives for manufacturing operations solutions focusing on asset performance management, logistics, and engineering. Responsibilities include strategic leadership, value creation, team management, and stakeholder engagement to enhance operational efficiency and productivity using advanced technology solutions.

The Director of Enterprise Architecture will drive architecture strategy, lead design and implementation of enterprise solutions, and advise leadership on technology trends to enhance business value and innovation.

The Business Coordinator will manage operational projects, support administrative tasks, coordinate meetings, and assist the Portfolio, PCO, and MarCom teams remotely and across time zones.

The VP of Enterprise Sales will lead growth in North America, manage client relationships, evolve sales strategies, and oversee team development.

The Senior Manager of Talent Acquisition will lead a team to drive recruitment strategies, ensure an inclusive hiring process, analyze recruiting metrics, and leverage technology to enhance talent acquisition efficiency.

The Account Executive, Acquisition will drive new business growth by managing the sales cycle, conducting outbound prospecting, and engaging SMBs with tailored solutions while refining sales processes.

As a Senior Data Engineer on the Domains Search team, you will build and maintain data pipelines for search and ML systems, ensuring data quality and collaborating with several teams to drive insights and optimize core functionalities.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Design solution architectures and integrate Celonis products for clients. Collaborate with sales and technical teams to support customer objectives.

The Senior Data Engineer will design and maintain data pipelines, ensuring scalability and reliability while integrating diverse data sources and optimizing workflows.

The AI Adoption Specialist empowers clients with training on Zeta's AI-driven Marketing Platform, showcases capabilities at events, nurtures client relationships, shares knowledge, and collaborates on product feedback.

The Analyst will assist in M&A execution, conduct financial modeling and analysis, prepare documents, and engage with clients and advisers in transactions.

As Vice President, develop relationships, lead M&A transactions, analyze financial data, and support capital raises in a fast-paced environment.

As a Project Manager II, you'll lead complex, cross-functional projects, utilize data analytics, and apply strategic thinking to achieve operational goals and ensure alignment with the business strategy.

The Senior Software Engineer will enhance the Data Lakehouse team's infrastructure for data storage, querying, and analysis, dealing with large-scale event data. Responsibilities include developing automated data pipelines and contributing to technical strategy.

As a Senior Product Manager at Braze, you will lead the strategy and roadmap for messaging composition, focusing on enhancing the user experience for marketers and developers. Responsibilities include driving internal velocity, shaping AI integrations, and evolving content architecture, ensuring scalable and high-performance frameworks for messaging delivery.

Collaborate with clients to implement data solutions, improve product architecture, develop ML pipelines, and ensure successful adoption of AI tools.