Top Tech Jobs & Startup Jobs in Seattle, WA

Leads customer support center operations in partnership with the Director of Operations. Oversees staffing, workflows, service delivery, team performance, client satisfaction, budgets, and operational improvement. Uses data and business judgment to identify risks, resolve service gaps, translate strategy into execution, and communicate performance to stakeholders. Requires full-time onsite work in Bellevue with flexible hours and occasional weekend or holiday coverage.

Provides administrative and operational support to senior leaders and teams, including complex calendar management, domestic and international travel coordination, expense reporting, meetings and events, procurement, vendor relationships, office support, and stakeholder communication. The role also supports financial, personnel, and facility operations while handling confidential information and completing special projects in a fast-paced technology environment.

Provides high-level administrative and operational support to multiple senior leaders. Responsibilities include managing complex calendars, coordinating domestic and international travel, preparing meetings, processing invoices and expenses, coordinating vendors and events, maintaining records, supporting office operations, handling confidential information, and tracking deadlines and action items.

Performs hands-on manual, exploratory, regression, compatibility, feature, and automated testing for VR/MR applications, devices, SDKs, and immersive-content pipelines. Develops test scripts, maintains test infrastructure and documentation, validates releases and hotfixes, investigates defects and customer issues, analyzes quality risks, and coordinates release readiness. Collaborates with developers and cross-functional teams to troubleshoot problems, track defects, assess coverage, and communicate testing progress, risks, and blockers. The role is fully onsite and requires extended daily use of VR/MR headsets and specialized laboratory equipment.

Develop and maintain software, test automation, and Azure Machine Learning pipelines for embodied AI and robotics research. Responsibilities include preparing robotic datasets, integrating simulation environments and physical robotic platforms, deploying and evaluating novel algorithms, managing model fine-tuning workflows, troubleshooting production systems, and supporting unit testing and documentation.

Evaluates and compares AI-generated responses across English and Korean content, assessing accuracy, relevance, reasoning, safety, tone, cultural appropriateness, and overall usefulness. Applies detailed annotation guidelines consistently, documents evidence-based decisions, maintains productivity across repetitive high-volume tasks, and participates in training, calibration, qualification, and quality-review activities.

Evaluate and compare AI-generated responses across English and Castilian Spanish scenarios. Assess factual accuracy, relevance, reasoning, clarity, safety, cultural appropriateness, instruction-following, and overall usefulness using detailed annotation guidelines. Document concise rationales, maintain consistent judgment across high-volume repetitive tasks, meet productivity expectations, complete training and qualification, and incorporate calibration feedback.

Evaluates and compares AI-generated responses across English and Japanese content, assessing accuracy, relevance, reasoning, completeness, safety, tone, cultural appropriateness, and overall usefulness. The role applies detailed annotation guidelines, documents evidence-based decisions, maintains consistent judgment across high-volume repetitive tasks, completes at least 25 evaluations daily, and participates in training, calibration, qualification, and ongoing quality reviews.

Supports network hardware demand and supply planning by analyzing supply supportability, validating complex data, identifying discrepancies, and producing accurate reports and dashboards. The role improves Power BI planning tools, develops scenario-planning capabilities, maintains process documentation, and communicates actionable insights to planning, sourcing, execution, engineering, and technical stakeholders.

Evaluates and compares AI-generated responses in English and French for accuracy, relevance, reasoning, clarity, safety, cultural appropriateness, and overall usefulness. Applies detailed annotation guidelines consistently across varied content types, documents evidence-based decisions, meets daily productivity expectations, and participates in training, calibration, qualification, and quality reviews.