AI Deployment Manager

🕒 September 11

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

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Logo of Laivly

Laivly

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Laivly is a company that provides collaborative AI solutions for contact centers, empowering customer service agents through automation and support tools. Their key product, a cobot named Sidd, integrates seamlessly with existing technology stacks to enhance efficiency, accuracy, and customer satisfaction. Laivly's solutions offer real-time transcription, call summaries, and AI-driven support across multiple communication channels, such as email, chat, SMS, and social media, without requiring replatforming. The company focuses on ethical AI use, ensuring their technology respects user rights and privacy while providing measurable improvements in contact center performance.

📋 Description

• 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

🏖️ Benefits

• Flexible environment • Opportunity to collaborate and grow your career with a creative, diverse, and passionate team • Fun-loving, dedicated team culture • Equal employment opportunities • Disability accommodation throughout the application process

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