Top Tech Jobs & Startup Jobs

The Technical Editor will support content marketing efforts by editing and providing guidance on B2B marketing content, ensuring high quality and adherence to brand guidelines. Responsibilities include reviewing marketing assets, collaborating with teams, creating templates, and managing multiple projects using content operations platforms.

The Specialist in Quality Management System will support the development and compliance of industry standards, conduct internal assessments, manage documentation, and implement process improvements in quality assurance. Responsibilities include data analysis for quality metrics, conducting quality audits, and ensuring alignment with quality standards. Key skills include effective communication, organization, and the ability to manage audits.

As an Enterprise Architect for Global Solutions, you will guide portfolio solutions to address customer business problems, working closely with sales and technical leaders. You will support the engagement with senior technical leaders and partners, conduct requirement gathering workshops, and define transformation programs to quantify ROI for IT solutions.

The Senior Sales Engineer will support sales efforts for Carrier Ethernet and IP products, offering engineering support through customer consultations and proposals. Responsibilities include technical demonstrations, lab integration, customer relationship management, and collaboration with internal teams on product enhancements. The role also involves responding to customer requests and maintaining technical expertise in the industry.

The Sales Engineer at Ciena will lead the introduction of new technology and products in Tier 1 service provider networks. Responsibilities include implementation of IPv6, integration of SRv6, customer support for OSS systems, designing telemetry solutions, and ensuring compliance with security requirements.

As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.

The Sales Engineer will work closely with AT&T to manage lab support, prepare customer deliverables, resolve issues, negotiate hardware requirements, and ensure product certification testing aligns with deployment needs. This involves technical leadership in customer-facing situations, project management, and collaboration with internal teams to facilitate new technology deployment.