AI Deployment Manager

• Own end-to-end delivery of complex voice and agentic AI deployments from discovery and scoping through configuration, launch, optimization, and stable production




• Lead structured discovery through stakeholder interviews, workflow mapping, agent shadowing, and transcript and data review




• Connect client operational challenges and desired outcomes to Laivly platform capabilities




• Facilitate solution design sessions and align stakeholders on agent scope, behaviour, requirements, trade-offs, and delivery approach




• Establish success measures with clients and Customer Success Managers before configuration begins




• Configure the Laivly platform, iterate prompts and intents, test solutions, and implement standard integrations




• Lead user acceptance testing and solution validation, resolving issues before production




• Build and drive deployment plans covering milestones, owners, dependencies, risks, decisions, iteration cycles, and go-live readiness




• Own stakeholder communication, scope discipline, change management, and discussions about re-scoping, trade-offs, and timeline risks




• Coordinate cross-functional teams and specialized technical resources while remaining accountable for outcomes




• Monitor post-launch performance and adoption using data and client feedback to guide optimization and establish proof of value




• Turn deployment learning into reusable patterns, playbooks, and product recommendations

Requirements

• 5+ years of progressive experience in product management, technology consulting or engagement management, technical solutions, enterprise implementation, or software engineering




• Track record of owning complex delivery outcomes with senior client stakeholders and cross-functional teams




• Strong executive presence and exceptional communication skills




• Strong technical fluency, including ability to read API documentation, test endpoints, troubleshoot integrations, and work comfortably in technical tools




• Hands-on experience working with LLMs, including agent behaviour, prompt iteration, evaluation, and system constraints




• Ability to move between technical problem-solving, solution design, operational planning, and customer change management




• Bias for action in ambiguity




• Experience turning delivery lessons into scalable processes, assets, or playbooks




• Willingness and ability to travel to client sites approximately 25% to 35%




• Experience with contact centres, CCaaS, IVR, conversational AI, scripting, or technical prototyping is an asset

Core Competencies

Demonstrates expertise in end-to-end delivery of complex AI deployments, including solution design, stakeholder management, and performance optimization. Proficient in technical fluency with LLMs and capable of translating operational challenges into effective solutions.

Highest-signal resume keywords

• End-To-End Delivery Management




• Technical Fluency with LLMs




• Stakeholder Communication




• Solution Design and Validation




• Cross-Functional Team Coordination

ATS Optimization Keywords

Hard Skills

• Product Management




• Technical Solutions




• API Documentation




• Integration Troubleshooting




• Prompt Iteration




• Operational Planning




• User Acceptance Testing




• Data Analysis




• Change Management




• Deployment Planning

Soft Skills

• Exceptional Communication Skills




• Executive Presence




• Bias for Action




• Problem-Solving




• Adaptability

Industry Keywords

• Voice AI




• Agentic AI




• Enterprise Implementation




• Technical Prototyping




• Contact Centres

Tools & Technologies

• Laivly Platform




• CCaaS




• IVR




• Conversational AI




• Scripting