Level: P4 | High Proficient
Location: Remote | Canada
Reports To: Grace Barbosa-Chin, Senior Director, P&C
Type: Permanent | Full-Time
At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights.
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency.
Trusted by over 35,000 locations across 60+ countries - including brands like McDonald’s and JYSK - Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize performance, and respond proactively to potential threats.
We're growing rapidly, earning industry recognition, and scaling with purpose. We’ve been recognized by Deloitte’s Fast 50 and Fast 500, Business Intelligence Group, and as one of Ottawa’s Best Places to Work. And we’re just getting started!
We are looking for an AI Enablement Lead to help build and scale how our organization works with AI. This role sits within People & Culture because our opportunity with AI is fundamentally about people, capability, and how work gets done. The AI Enablement Lead will be responsible for building the skills, habits, systems, and community that enable employees to use AI effectively, responsibly, and consistently across the company.
This is not an AI engineering role. Instead, this person will operate at the intersection of AI, learning, organizational change, and business transformation. A core part of the role will be building and leading our AI Superteam: a cross-functional network of AI experts and champions embedded within each department. These individuals will maintain their existing functional reporting lines while having a dotted-line relationship to the AI Enablement Lead. Together, this network will identify opportunities, test new ways of working, share best practices, and scale high-impact AI use cases across the organization.
The ideal candidate is both AI-fluent and highly people-oriented. They do not need to be the deepest technical AI expert in the company. They need to understand what AI can enable, translate that into practical changes in how people work, and bring people together to make those changes stick.
Develop and execute a company-wide strategy for AI capability, adoption, and enablement in partnership with leadership, Technology, Security, Legal, and business teams.
Identify the skills, behaviours, and ways of working employees will need as AI becomes increasingly embedded in our work.
Build a practical roadmap for moving the organization from AI awareness to meaningful adoption and measurable impact.
Build, coordinate, and lead a cross-functional AI Superteam made up of designated AI experts from across the organization.
Establish a clear operating model, expectations, priorities, and cadence for the Superteam.
Create a forum where teams can share experiments, successful use cases, challenges, and emerging AI practices.
Partner with department AI experts to identify high-value opportunities and help move promising experiments from individual use cases into scalable organizational practices.
Create mechanisms for knowledge-sharing so that an AI innovation in one function can be discovered and adapted by others.
Design and deliver role-based AI learning experiences for employees, managers, and leaders.
Build practical resources such as playbooks, use-case libraries, prompt frameworks, guides, workshops, and office hours.
Help employees develop the judgment required to evaluate AI-generated work for accuracy, quality, usefulness, completeness, and appropriate human review.
Develop AI learning pathways that evolve as tools and organizational needs change.
Drive adoption of AI tools and new AI-enabled ways of working across the organization.
Partner with leaders and teams to identify where AI can meaningfully improve productivity, quality, decision-making, or employee experience.
Help teams move beyond experimentation toward sustainable changes in workflows and operating practices.
Identify and address barriers to adoption, including capability gaps, confidence, behaviour, process friction, and unclear expectations.
Define and track meaningful measures of AI adoption, capability, and impact.
Assess where employees and teams are making effective use of AI and where additional enablement is required.
Gather feedback and insights from the AI Superteam and broader employee population to continuously improve our AI strategy and programs.
Share progress, learnings, and recommendations with senior leadership.
The AI Enablement Lead owns organizational AI capability and adoption.
This includes:
AI learning and enablement
AI adoption and change management
AI community and the AI Superteam
Cross-functional knowledge sharing
Role-based AI capability development
Measurement of AI readiness, adoption, and impact
Identification and scaling of proven AI practices
This role does not independently own:
AI product or software engineering
Enterprise AI architecture
Cybersecurity or data security controls
Legal or privacy policy
Technical procurement or infrastructure
The AI Enablement Lead will partner closely with the teams responsible for these areas to ensure that employee enablement and technical governance evolve together.
Each major function will designate an AI Expert / AI Champion who remains embedded within their department while maintaining a dotted-line relationship to the AI Enablement Lead.
These departmental AI experts will:
Identify AI opportunities within their function
Experiment with new tools and workflows
Help colleagues adopt effective AI practices
Bring functional challenges and learnings to the Superteam
Share successful use cases across the organization
Partner on cross-functional AI initiatives
Help identify emerging skills and capability needs within their function
Together, the AI Enablement Lead and AI Superteam will create a united model of AI innovation and enablement: close enough to the business to understand real needs, but connected enough to scale what works.
In the first 12–24 months, success could include:
A functioning AI Superteam with strong participation across key functions
Clear AI capability expectations and learning pathways for employees
Meaningful growth in employee confidence and effective AI usage
A growing library of validated, high-impact AI use cases
AI practices successfully scaling across multiple departments
Managers increasingly incorporating AI into how work is designed and delegated
Evidence that AI is improving productivity, quality, speed, or employee experience
A clear understanding of the skills and capabilities our workforce will need as AI continues to evolve
You are someone who gets excited about what AI makes possible for people.
You are comfortable experimenting with new technology, but you are equally interested in the organizational challenge of helping hundreds of people adopt it effectively.
You are a connector: you naturally bring together people, ideas, and teams.
You don't need to have all the answers yourself. You know how to find the people who do, create the right environment for experimentation, identify what works, and turn individual innovation into organizational capability.
Most importantly, you believe that the biggest AI opportunity is not simply giving people better tools, it is helping people work differently and better because those tools exist.
You’re naturally curious and a self-starter, always exploring what’s possible, experimenting with new ideas, and turning what you learn into action without waiting for direction.
4+ years of experience in learning & development, organizational development, enablement, change management, transformation, or a related field
Demonstrated experience designing and scaling organizational learning or capability programs
Experience driving adoption of new technologies, processes, or ways of working
Experience working cross-functionally with senior stakeholders and distributed teams
Experience building communities of practice, champion networks, or similar grassroots enablement models is highly valued
Strong practical understanding of generative AI and modern AI tools
Hands-on experience using AI to improve real-world knowledge work
Ability to distinguish between interesting AI experimentation and genuinely valuable business applications
Strong understanding of responsible AI use, including human oversight, data considerations, quality, and appropriate judgment
Curiosity and comfort operating in a rapidly changing technology landscape
Exceptional facilitator and communicator
Strong change-management instincts and a bias toward experimentation and learning
Candidates must undergo a criminal records check upon hire;
Be a Canadian Citizen (dual citizens included), or eligible to work in Canada;
Be willing to comply with Solink’s own security policies and standards.
We do things the Solink way:
Act with URGENCY – Our customers move fast, so we do too.
Deliver with QUALITY – We sweat the details and hold a high bar.
Win with TEAM – No egos. Just outcomes, built together.
Lead with TRUST – We earn it through clarity, consistency, and care.
Customer Focus - We are putting customer impact at the center of our decisions, using insights, data, and feedback to deliver consistent value today while shaping long-term trust, loyalty, and sustainable growth.
Systems Thinking - We are designing and evolving processes, tools, and operating models so reliable outcomes can occur without individual intervention.
AI Amplified Execution - We are thoughtfully integrating AI into how work gets done, not just to move faster, but to solve better problems, redesign workflows, and create scalable advantage.
Outcome Ownership - We take full accountability for the results we create, including the decisions, compromises, successes, and failures, and using those outcomes to improve future performance.
Compensation Range: CA$96K - CA$130K
