Technical Solutions Manager

Job not on LinkedIn

🔥 3 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Laivly

WebsiteLinkedInAll Job Openings

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 technical delivery across a client portfolio, from discovery and solution design through implementation, launch, optimization, and close • Partner with Sales, Customer Success, Configuration, User Success, Product, Engineering, and subject-matter experts to understand client needs and define measurable outcomes • Lead technical discovery by analyzing client workflows, requirements, systems, data, constraints, and operational goals • Translate business requirements into solution designs, implementation plans, user acceptance criteria, and success metrics • Develop and maintain roadmaps and workplans covering objectives, deliverables, owners, dependencies, timelines, risks, decisions, and success criteria • Create and present recommendations and business cases explaining approach, expected impact, delivery requirements, and trade-offs • Lead solution reviews, working sessions, and technical discussions • Manage scope and stakeholder communication by tracking progress, milestones, risks, open questions, actions, and requirement changes • Surface risks, resolve blockers, and challenge approaches that could compromise quality, timelines, adoption, or outcomes • Support configuration, testing, validation, and user adoption to ensure launch readiness • Monitor post-launch performance and adoption using data and feedback to guide optimization and confirm value • Capture lessons learned, reusable assets, and client insights to improve implementations, product development, capabilities, and scalable delivery practices • Contribute to accountability, collaboration, continuous improvement, and high-quality client delivery across Enterprise Solutions

🎯 Requirements

• 3-5+ years of experience in technical solutions, SaaS or AI implementation, technical account management, solutions consulting, business analysis, product management, engineering, or a similarly complex delivery role • Ability to take an ambiguous business problem, understand technical and operational constraints, and turn it into a practical solution plan • Ability to communicate complex ideas clearly and credibly to clients, executives, engineers, and operational teams • Thorough preparation and ability to develop informed recommendations quickly • Proactive and highly accountable approach • Ability to make sound decisions under pressure and know when to move forward, escalate, or bring in additional expertise • Comfort challenging client and internal decisions when they put solution quality, delivery, or business outcomes at risk • Ability to learn unfamiliar technology quickly and seek guidance from subject-matter experts • Hands-on experience using AI tools in work • Strong interest in LLMs, AI agents, automation, and emerging customer-service technology • Strategic thinking, strong execution, and attention to detail • Ability to work in startup environments with changing priorities and evolving processes • Experience with contact centres, enterprise SaaS, pre-sales, APIs, workflow design, or customer success is an asset

🏖️ Benefits

• Remote work • Flexible environment • Career growth opportunities • Opportunity to collaborate with a creative, diverse, and passionate team • Opportunity to work on innovative AI, machine learning, and digital automation technology • Equal employment opportunity • Disability accommodation throughout the application process