• Provide technical and functional support for Thomson Reuters' Electronic Tax Documents (DFE) solutions. • Ensure excellent customer service, incident resolution, and guidance on the correct use of tax tools. • Diagnose and resolve technical and functional incidents related to the issuance, reception, and management of electronic tax documents. • Analyze rejections and tax errors with SEFAZ (state tax authorities) and municipal tax authorities, advising clients on corrective actions. • Investigate systemic failures, analyze logs, and troubleshoot integrations (ERP ↔ Thomson Reuters systems). • Assist clients with parameterization and configuration of tax solutions. • Collaborate with internal teams (product, development, and implementation) to escalate and resolve complex issues. • Ensure SLA compliance and high-quality service delivery. • Document support cases and solutions, and maintain the knowledge base. • Support continuous improvement of support processes.

• Serve as a recognized authority in Adobe Workfront solutions and technologies • Gather and understand client business objectives, technical requirements, goals, and challenges • Educate clients on Adobe Workfront best practices and industry-specific methodologies • Evaluate solution designs and Workfront configurations to ensure implementation accuracy and alignment with recommended practices • Analyze complex project challenges, identify solution options, and facilitate recommendation discussions with clients and partners • Translate business requirements into architecture, design, and development activities utilizing Adobe Workfront solutions • Lead and support enterprise Workfront implementations, including workflow design and platform configuration • Provide guidance on project management methodologies including Waterfall, Scrum, Kanban, PMI, and hybrid approaches • Validate implementation approaches and recommend scalable solutions aligned with client objectives • Support data migration efforts from legacy tools and systems into Workfront • Ensure adherence to governance standards and platform best practices • Design, develop, and troubleshoot Workfront Fusion scenarios and automations • Configure modules, develop functions, and implement integration workflows • Integrate Workfront with enterprise systems including Creative Cloud, AEM Assets, Jira, Outlook, Salesforce, Slack, and other business applications • Manage a high-volume portfolio of client engagements while ensuring timely execution and quality delivery • Collaborate with marketers, analysts, developers, project teams, and business leaders • Facilitate technical discussions with both technical and non-technical stakeholders • Build credibility and trust through strong consulting, communication, and facilitation skills • Maintain accurate project records, workload estimates, and time tracking documentation • Create client-facing documentation, presentations, and recommendations using Microsoft Office tools

• Establish Evaluation Standards • Define criteria for assessing scene lighting quality, including physical realism, visual consistency, artistic intent, and emotional impact. • Identify gaps in existing evaluation methodologies and recommend improvements. • Curate Benchmark Content • Select and analyze examples that demonstrate both straightforward and highly complex lighting scenarios. • Help create meaningful benchmarks for evaluating AI-generated lighting and relighting outputs. • Identify Critical Evaluation Factors • Determine the most important visual attributes that influence perceived lighting quality and realism. • Provide expert guidance on prioritizing evaluation dimensions. • Shape Human Evaluation Processes • Help define reviewer qualifications, evaluation rubrics, and assessment frameworks. • Ensure evaluation standards align with professional industry expectations. • Collaborate with Research Teams • Work closely with AI researchers and domain experts to improve model evaluation approaches. • Translate visual and artistic concepts into clear, measurable evaluation criteria.

• Join a leading AI lab at the forefront of generative AI innovation and help shape the future of performance-driven AI systems. • Contribute expertise toward evaluating and improving AI models that transfer and preserve human performances across different outputs. • Establish evaluation standards: Define criteria for assessing performance fidelity, emotional authenticity, and physical accuracy. • Evaluate how effectively AI-generated outputs preserve the original actor’s intent, timing, expression, and movement. • Identify shortcomings in existing evaluation approaches and recommend improvements. • Curate benchmark content: Select and analyze performance examples that range from straightforward to highly nuanced and challenging. • Help establish meaningful benchmark datasets for evaluating AI performance transfer capabilities. • Shape human evaluation frameworks: Define reviewer qualifications, expertise requirements, and evaluation methodologies. • Develop scoring rubrics and guidelines for large-scale human review processes. • Collaborate closely with other creative and technical specialists to ensure evaluation consistency and quality. • Provide subject matter expertise that informs future model development and assessment strategies.