Manager, Technical Product (AAI)

• Vision Translation: Partner with leadership to break down complex strategic visions into simple, granular requirements for the development team.
• Instructional Authoring: Author the "Instruction Manual" for the product, defining exactly how logic and data move through the system from start to finish.
• Tactical Roadmap Maintenance: Manage the release schedule and feature priorities to ensure the product evolves in lockstep with the strategic vision.

• Daily Execution: Manage the daily list of bugs and features, making decisions on immediate fixes versus post-launch enhancements.
• Sprint Planning: Work with Program Management to define priorities and plan upcoming sprints based on the overarching product goals.

• UAT Facilitation: Provide the documentation and product knowledge needed for the UAT team to test effectively and verify the strategic intent.
• Bug Verification: Filter and verify bugs reported by testers to ensure only legitimate, high-priority issues are passed to the engineering team.

• Point of Contact: Serve as the main point of contact for PMO and Operations, providing updates on technical progress and delivery timelines.
• Feedback Triage: Gather feedback from departments and organize it into a structured triage plan or decision matrix for leadership review.

• Vision Fidelity: How accurately the final technical build reflects the original strategic vision provided by leadership.
• Requirement Clarity: Minimal "blocked" status for developers due to missing or ambiguous technical specs.
• User Delight & Resonance: High levels of stakeholder satisfaction, evidenced by frictionless product use and enthusiastic advocacy from cross-functional partners.
• Value & ROI: Measurable success in driving value for customers and increasing ROI through cost savings or revenue gains.
• Delivery Predictability: Maintaining a consistent release cadence that aligns with the established roadmap.

• Cloud Platform Familiarity: Practical understanding of how cloud platforms store data and run automated tasks to process information.
• Data Flow Logic: Experience mapping out how information moves from one system to another, ensuring data integrity as it transitions from routing services to cloud databases.
• System Connectivity: Understanding how different software tools "talk" to each other to send data payloads and confirm when a task has been completed successfully.

• Execution of AI Vision: Practical experience using Large Language Models (LLMs) to perform complex reasoning and solve multi-step problems based on a defined strategic framework.
• Algorithmic Deconstruction: Ability to take a high-level "thinking" task and break it down into a series of logical inferences, evaluations, and summaries that an AI can execute.
• Performance Optimization: Basic understanding of managing "token limits" and the trade-offs between a model’s "thinking" time and its operational speed/cost.
• Exception Logic: Ability to define "if/then" rules for when AI reasoning is inconclusive, ensuring a robust hand-off to human-in-the-loop validation.

• Technical Documentation: Expertise in writing step-by-step user stories and product descriptions that provide developers with a flawless blueprint for building.
• Backlog Management: Proficiency in enterprise project management tools (e.g., ADO) to track bugs, prioritize new features, and maintain the tactical roadmap.
• Testing Coordination: Ability to translate technical requirements into accurate scripts for testing teams to verify product intent.

Livingston International