<p><strong>Location:</strong> Livermore, CA (Onsite)</p><p><strong>Travel:</strong> Up to 25% domestic travel</p><p><br></p><p>Our client is seeking a <strong>Director of Technology</strong> to lead enterprise IT, cybersecurity, infrastructure, and digital transformation initiatives across a global manufacturing organization. This executive leadership role will drive technology strategy, modernize enterprise systems, and ensure IT capabilities support business growth, operational excellence, and innovation.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and execute the company's IT and digital transformation roadmap.</li><li>Serve as a strategic advisor to executive leadership on cloud technologies, AI, cybersecurity, ERP modernization, and data analytics.</li><li>Oversee enterprise applications including ERP, CRM, MES, PLM, HRIS, and collaboration platforms.</li><li>Lead cybersecurity, infrastructure, cloud environments, business continuity, and disaster recovery programs.</li><li>Drive data governance, reporting, analytics, automation, and AI adoption initiatives.</li><li>Manage technology budgets, vendor relationships, and strategic IT investments.</li><li>Implement security frameworks aligned with NIST, ISO 27001, and industry best practices.</li><li>Lead and develop a technology organization of 15+ professionals, including 2 Senior Managers.</li><li>Partner with global stakeholders across manufacturing, engineering, operations, supply chain, and finance.</li></ul><p>This is an excellent opportunity for a strategic technology leader to make a significant impact within a global semiconductor and manufacturing organization while leading enterprise-wide transformation initiatives.</p>
<p>We are looking for an IT Systems Support specialist to support a Financial Services environment in San Francisco, California. This Long-term Contract opportunity is ideal for someone with strong hands-on experience managing Microsoft Intune and Microsoft 365 administration in a user-focused desktop support setting. The role will provide technical support for approximately 300 end users while helping maintain a reliable, secure, and efficient workplace technology environment.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize Microsoft Intune to support device configuration, policy management, application deployment, and ongoing endpoint operations.</p><p>• Lead end-to-end rollout activities for Intune initiatives, including planning, deployment execution, validation, and post-implementation support.</p><p>• Manage core Microsoft 365 administration tasks across services such as Office 365, Azure-related tools, and Active Directory-connected environments.</p><p>• Deliver desktop and end-user support for a population of roughly 300 employees, resolving hardware, software, and access-related issues in a timely manner.</p><p>• Troubleshoot Windows-based systems and maintain stable workstation performance across the user environment.</p><p>• Support remote users while also providing onsite assistance one day each week in the San Francisco, California office.</p><p>• Document technical procedures, configurations, and support activities to promote consistency and efficient issue resolution.</p><p>• Collaborate with internal teams to address escalated technical problems and improve overall end-user computing services.</p>
We are looking for a Help Desk/Desktop Support Analyst to provide day-to-day technical support for end users in Palo Alto, California. This Long-term Contract position is ideal for someone who enjoys resolving hardware, software, and access-related issues while delivering responsive service. The role focuses on maintaining a reliable desktop environment, assisting with Windows-based systems, and ensuring support requests are handled efficiently and professionally.<br><br>Responsibilities:<br>• Provide first-line technical assistance for desktop, laptop, and basic peripheral issues affecting end users.<br>• Diagnose and resolve problems related to Microsoft Windows environments, including Windows 10 system performance and usability concerns.<br>• Manage user account support tasks such as password resets, access updates, and directory-related requests within Active Directory.<br>• Respond to service desk tickets in a timely manner, document troubleshooting steps, and communicate resolution status clearly to users.<br>• Escalate more complex incidents when needed while maintaining ownership of issues through completion.<br>• Assist with workstation setup, software installation, and general configuration to support daily business operations.<br>• Perform routine troubleshooting to identify root causes and restore service with minimal disruption to users.
<p>We are looking for a Data Labeler to support high-quality dataset preparation for machine learning initiatives in San Francisco, California. This Long-term Contract position focuses on reviewing and organizing text, image, audio, and video content so AI models can be trained with reliable, well-structured information. The ideal candidate brings strong editorial judgment, accuracy, and the ability to apply detailed standards consistently across large volumes of content.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate and label content across multiple data formats, including written material, images, audio files, and video, using defined annotation standards.</p><p>• Apply tags, classifications, and descriptive markers to datasets so they can be used effectively in AI and machine learning training workflows.</p><p>• Inspect content for quality, completeness, and consistency, correcting issues and flagging unclear or unusual cases for further review.</p><p>• Annotate visual assets by identifying relevant elements, outlining objects, or marking important features based on project requirements.</p><p>• Review language-based content to classify topics, sentiment, entities, intent, or other attributes needed for model development.</p><p>• Transcribe and enrich audio-based materials when required, ensuring accurate interpretation and documentation.</p><p>• Maintain productivity and quality benchmarks while handling recurring tasks with a high level of precision and organization.</p><p>• Partner with technical and quality teams to refine labeling practices and improve the usefulness of training datasets.</p>