Manager, Technical Product

Join Livingston and grow your career in the constantly changing world of international trade. Livingston is a market leader offering customs brokerage, international trade consulting, compliance and freight forwarding services around the world. Livingston has over 3,000 employees at more than 90 key border crossings, sea ports, airports and other strategic locations in North America, Europe and Asia.

Our fast-paced and collaborative environment offers you the opportunity to work with leaders in the industry, receive recognition for achievements and develop your expertise in the complex and evolving world of trade. Learn how you can make an impact at Livingston.

Job Summary
The Technical Product Manager (TPM) is the functional engine of the product team, responsible for the high-fidelity execution of the strategic product vision. In this role, you will partner closely with leadership to deconstruct a high-level vision into clear, developer-ready requirements. You are the bridge between "what is possible" and "how it is built," ensuring that complex data workflows and AI-driven logic are executed with precision, speed, and accuracy.

Key Duties & Responsibilities
2. Execution & Delivery
3. Quality & Alignment
4. Stakeholder Coordination
Success Metrics

Strategic Execution & Translation

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.

Knowledge & Skills
To perform this job successfully, the person must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable a person with disabilities to perform the essential functions.

Systems Integration & Cloud Infrastructure

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.

AI-Driven Logic & Problem Solving

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.

Product Lifecycle & Tactical Delivery

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