• Operate autonomously to provide linguistic QA and develop alignment resources. • Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. • Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the Amharic language. • Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. • Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase.

• Partner with the PMO team to understand project management workflows, recurring needs, and opportunities to improve efficiency with Copilot • Write, test, and refine AI prompts that support PMO use cases such as project updates, status summaries, risk tracking, action item follow-up, meeting preparation, and documentation • Help create and organize Copilot-based agents that support PMO processes across data ecosystems • Evaluate AI-generated outputs for quality, clarity, usefulness, and consistency, and recommend improvements based on testing results • Document prompt patterns, agent logic, use cases, lessons learned, and best practices so solutions can be reused and scaled • Support the development of simple governance and quality standards for prompt writing and agent usage within the PMO team • Collaborate with stakeholders to translate business questions into structured AI interactions that improve productivity and decision-making • Identify opportunities to streamline access to project data, reporting content, and knowledge resources through effective prompt and agent design • Participate in team meetings, working sessions, and reviews, providing updates on progress, findings, and recommendations • Stay current on emerging prompt engineering techniques and practical uses of Copilot that can enhance PMO operations • Contribute to a team environment that values curiosity, collaboration, learning, and continuous improvement

• Own every client engagement from strategy through delivery and measurable outcomes. • Serve as the single point of accountability for each client engagement. • Translate executive conversations into practical AI transformation programs and roadmaps aligned to each client’s business priorities and KPIs. • Present board-ready ROI reporting that connects AI initiatives to measurable business results. • Grow existing client relationships by identifying expansion opportunities, building business cases, presenting ROI, and closing additional work. • Meet or exceed revenue targets in this quota-carrying role. • Facilitate AI steering committee meetings with senior client leadership. • Align AI strategy with business objectives and ensure every meeting ends with clear priorities, owners, and next steps. • Drive accountability between meetings by coordinating multiple workstreams across both client and internal teams. • Escalate issues appropriately while maintaining strong executive relationships. • Continuously feed client insights back into the company’s products, training programs, analytics, and AI transformation playbooks.

• Design and deliver sessions that change how people work the very next day. • Measure success through lasting behavior change, not audience satisfaction. • Lead with live demonstrations before explanations. • Tailor every demo to the client’s real workflows and business challenges. • Build credibility through authentic, unscripted examples. • Read the room and adjust your approach based on audience readiness. • Help confused audiences understand the “why.” • Help anxious audiences build confidence through smaller steps. • Navigate skeptical audiences using credible peer examples and practical proof. • Continuously stay current on AI platforms, feature releases, and best practices. • Ensure every training session reflects today’s capabilities—not outdated information. • Capture patterns from client engagements. • Identify where learners struggle, what resonates, and why. • Provide actionable feedback that continuously improves the company’s training approach.