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Top Engineering Jobs in NYC, NY
The Senior Manager of Software Engineering will lead a portfolio of technology projects, oversee a team of developers, and create cloud-based solutions. They will collaborate with product managers and mentor junior members while staying up-to-date with tech trends and coding when necessary.
The Senior Manager of Software Engineering will lead diverse technology projects and a team of developers to create solutions that meet regulatory needs. Responsibilities include mentoring, collaborating to deliver cloud-based solutions, and staying updated on technology trends while utilizing a range of programming languages and cloud services.
As a Senior Manager of Software Engineering at Capital One, you will lead a team of developers on diverse tech projects, focusing on back end solutions and cloud-based technologies. Your role involves mentoring engineers, collaborating with product managers, and keeping updated on tech trends to meet regulatory needs and enhance user experiences.
As a Senior Manager in Machine Learning Engineering, you'll lead an Agile team focused on productionizing and optimizing ML applications at scale. Responsibilities include designing, building, and validating ML models, collaborating with cross-functional teams, implementing cloud-based architectures, and ensuring responsible AI practices. You'll also oversee the management of ML systems and lead teams towards developing scalable and efficient solutions in a fast-paced environment.
The Senior Manager, Media Systems Engineering will oversee global storage technology, manage a mixed team of engineers, evaluate new storage services, ensure operational excellence of private cloud services, and drive both short-term and long-term infrastructure initiatives. The role emphasizes mentoring and improving development practices while communicating effectively at an executive level.
The Senior Engineering Manager will lead the Integrations team, focusing on API integrations, RPA solutions, and building scalable, resilient systems. Responsibilities include mentoring engineers, managing project timelines, collaborating with product management, and staying updated on industry trends.
Manage and mentor a team of AI engineers, drive ML project timelines, collaborate with product management, identify risks, and offer innovative solutions while fostering an inclusive team culture.
As an Engineering Manager, you will lead a team responsible for the merchant payment experience at Squarespace, oversee product strategies, and mentor engineers while ensuring the scalability and reliability of financial services products.
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The Manager of AI/ML Engineering will lead machine learning strategy development, oversee high-performing teams, guide innovative model deployment, and ensure the integration of AI/ML into business systems. The role requires technical expertise, team management, and the ability to build partnerships with various stakeholders.
As an Engineering Manager, you will lead the Product Partnerships team, focusing on developing and optimizing E-commerce integrations, particularly with Shopify. Responsibilities include maintaining best-in-class systems, supporting engineer growth, and collaborating closely with product management and design teams to meet product goals.
As an Engineering Manager for the Fabric Control Plane team, you will manage a team of software engineers delivering large-scale infrastructure projects. Your role will include fostering team growth, overseeing technical output, managing project timelines, and contributing to architectural decisions while ensuring the availability and scalability of critical systems.
The Manager of Engineering for the REDAPL Datastore Serving team will lead the team in strategic leadership, technical excellence, and talent management. Responsibilities include fostering collaboration, optimizing team workflows, ensuring code quality, and driving continuous improvement while overseeing hiring and mentoring practices.
As the Manager of the Dynamic Code Instrumentation team, you'll lead a team of runtime engineers, write and maintain code for instrumentations, collaborate with security and AI teams, ensure high quality and performant code, and manage agile processes.
As Engineering Manager for the OrgStore Query Team, you will mentor software engineers, drive technical roadmaps, solve complex technical issues, and align team objectives with business goals while contributing to the long-term innovation and efficiency at Datadog.
As an Engineering Manager at Datadog, you will manage a team responsible for the scheduling and execution of queries for the Metrics Timeseries platform, ensuring reliability and scalability. Your role involves overseeing engineering responsibilities, mentoring engineers, and collaborating with product managers to align on project strategies and deliverables.
As an Engineering Manager for the Metrics Platform at Datadog, you will lead a team of software engineers focused on developing and executing infrastructure monitoring features. You'll manage projects, ensure high-quality deliveries, and mentor engineers while collaborating with product leads to define impactful roadmaps.
As the Manager of the Service Catalog team, you will lead junior and senior engineers in full stack application development, focusing on the existing Service Catalog and the new Internal Developer Portal. Your role includes managing the team, defining priorities, promoting collaboration, and being technically involved in the development lifecycle.
As a Manager for APM SDKs at Datadog, you'll lead a team of engineers in developing high-quality, open-source APM instrumentation across multiple programming languages. You will collaborate with product managers, maintain high standards for product outcomes, and stay updated on industry trends while fostering a culture of innovation and customer focus within your team.
Lead the Systems and Process Engineering team at Datadog, focusing on optimizing technical solutions for efficiency and effectiveness. Drive business process automation, tech optimization, and the implementation of new systems while developing talent and managing technology spend effectively.
Lead and mentor a team of software engineers to drive improvements in resilience, availability, and efficiency of services within the Cloud Platforms - Observability organization at Datadog. Work on defining OKRs, managing cross-team projects, and promoting a culture of operational excellence. Ideal candidate has experience in people management, technical leadership, cloud technologies, distributed systems architecture, and incident response.
Manage a team of engineers working on the latest version of the internal worker framework to address new use cases and replace legacy systems. Partner with engineering teams to define roadmap and architectural design, shipping features to deliver value to customers. Build a collaborative and effective working environment. Contribute to code, lead design decisions, and align technical decisions with business goals. Requires BS/MS/PhD in Computer Science or related field.
Lead the Streaming - Control Plane team responsible for systems and abstractions streaming data between services at Datadog. Engage in technical discussions, support the team with coding and troubleshooting, and foster a high-performing engineering team. Align quarterly goals with business needs, and maintain relationships with product teams.
As the Engineering Manager for the Metrics Query Execution team, you will lead software engineers, enhance career development, improve query capabilities, and optimize team processes while ensuring high-quality software delivery and operational excellence.
As an Engineering Manager for the Metrics Intake team, you will lead and mentor a team of engineers, drive improvements in service resilience and efficiency, manage cross-team projects, and ensure operational excellence while sharing on-call responsibilities.
As Engineering Manager for the ML Observability team, you will lead engineers in developing an observability platform that integrates machine learning features. Your role includes mentoring staff, exploring new techniques for monitoring AI components, and ensuring product quality while engaging with senior management.
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