Support the agency's SEO requirements across client accounts while also taking ownership of organic search growth for the company's e-commerce business.
Support the APAC team across campaign operations, reporting, data quality, and performance analysis for Influencer Marketing & Affiliate Marketing.
Responsibilities
Support regular IM and Affiliate reporting, including data consolidation, cost logging, and accuracy checks across relevant platforms and dashboards.
Assist country IM and Affiliate PICs with day-to-day operational needs, including posting checks, test or cross-orders, tracking checks, ticket filing, and campaign validation.
Support ad hoc analysis on topics such as attribution, revenue discrepancies, ROAS, creator or publisher performance, and channel trends.
Monitor dashboards and flag unusual performance, data gaps, or tracking issues for further investigation.
Help coordinate campaign assets, links, promotions, and partner requirements to ensure smooth execution.
Lead technical design and implementation of Spark query compilation and runtime integration, owning complex engineering initiatives and providing technical leadership for production compiler and runtime capabilities.
Locations (2)
Bellevue, Washington, United States
Menlo Park, California, United States
Responsibilities
Lead the technical design and implementation of Spark query compilation and runtime integration, including intermediate representations, type resolution, semantic compatibility, query-plan transformations, and efficient SQL generation.
Own complex engineering initiatives from problem definition and architecture through implementation, validation, and production rollout.
Provide technical leadership to project teams by clarifying engineering trade-offs, aligning contributors, reviewing designs and code, and resolving technical blockers.
Improve end-to-end workload performance and cost-efficiency through profiling, compilation-latency reduction, metadata-access improvements, and collaboration with query-engine teams.
The Call Center Supervisor is responsible for overseeing the Total Customer Connect (TCC) Tulsa Call Center. This position will oversee the daily activities of the Call Center Agents and ensure the team meets established productivity, quality, and customer service expectations.
Responsibilities
Supervise and oversee the daily activities of Call Center Agents
Monitor & communicate team performance to ensure productivity, call quality, attendance, and customer service goals are being met
Provide coaching and constructive feedback to address performance concerns and improve employee/team results
Assist agents with difficult customer interactions, dealership requests, and escalated calls
Work with leadership to identify employee development needs and coordinate additional training
Build intelligent enterprise applications that help Microsoft make better decisions about its engineering investments.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Build across the stack. Write and maintain production code for web interfaces, backend services, APIs, Dataverse plugins, custom components, and integrations.
Lead platform modernization. Evolve application architecture and business workflows using the right combination of custom services, Dataverse, Power Apps, and Power Automate.
Lead architecture and technical execution. Define service boundaries, API contracts, data models, and migration patterns.
Engineer resilient integrations. Build secure, observable connections across enterprise systems.
Deliver trustworthy AI experiences. Develop AI-assisted applications and agent integrations.
Requirements
Bachelor's Degree in Computer Science or related technical field
Performance Test Engineer to drive server performance validation across compute, memory, storage, network, and GPU domains, combining hands-on performance analysis with validation strategy and project ownership.
Responsibilities
Own server performance validation activities across compute, memory, storage, network, GPU, and other subsystems.
Perform performance analysis, regression analysis, issue isolation, bottleneck identification, and root cause investigation across different platforms, configurations, operating systems, and product generations.
Execute and manage performance validation cycles, ensuring test coverage, execution quality, and milestone delivery.
Produce technical reports documenting test configurations, methodologies, results, observations, bottlenecks, and recommendations.
Identify test tooling, data processing, and automation requirements, and work with the internal automation team to define scope, priorities, and acceptance criteria.
Requirements
Bachelor's degree in Computer Science
Bachelor's degree in Computer Engineering
Bachelor's degree in Electrical Engineering
Nice to have: GPU server platforms (NVIDIA GB200, GB300, MGX)
Support the ongoing development and continuous improvement of policy, practice, guidance and operational frameworks across the Te Pae Oranga portfolio, ensuring consistent and effective delivery nationwide.
Compensation
This position is covered by a collective agreement, and salary will commence between $111,529 and $129,277 dependent on skills and experience relevant to the role.
Responsibilities
Support the ongoing development and continuous improvement of policy, practice, guidance and operational frameworks across the Te Pae Oranga portfolio.
Provide advice and support on policy and practice matters, helping ensure consistent and effective delivery nationwide.
Develop and maintain training resources, tools and supporting materials that build capability and support implementation.
Monitor performance, identify trends and emerging issues, and contribute to continuous improvement initiatives.
Build and maintain effective relationships with Police staff, iwi, community providers and key stakeholders.
Establish strong correctness and compatibility practices, including differential testing against Apache Spark, regression coverage, and clear handling of unsupported behavior.
Requirements
A degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
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