Senior People Systems & AI Specialist

Docebo•Toronto, ON

7d•CA$76,400 - CA$100,000•Hybrid

About The Position

At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. At Docebo, AI and data are reshaping how work gets done—how decisions are made, how talent is developed, and how organizations scale. We’re not just implementing systems; we’re rethinking how people, data, and technology come together to create clarity, efficiency, and impact across the business. The People Systems AI Architect sits at the intersection of People, Product/AI, IT, and Data/BI. This senior individual contributor is responsible for designing and delivering the agentic AI and automation layer across People workflows—turning traditional Talent Acquisition, Total Rewards, Payroll, lifecycle, and service processes into intelligent, AI‑enabled experiences for employees, managers, and People teams. You’ll work primarily across our core People tech stack (Dayforce, Ashby, Zendesk, Glean, CultureAmp, Okta, Slack/Google Workspace, and our shared data warehouse/BI stack), and help define how we layer AI orchestration and automation on top of it. This role is ideal for someone who has fundamentally changed how they work because of AI: you actively use LLMs, orchestration platforms, and AI agents to research faster, design better, ship automations, and document without friction. You will shape the roadmap for workflow orchestration agents, decision‑support agents, and advisory/coaching agents across the People function, helping HRBPs, People Ops, Talent, Rewards, Payroll, Workplace, and Learning teams move away from manual execution and coordination towards strategy, design, and advisory work.

Requirements

5+ years of experience in HR Technology, HRIS ownership, Product Management, People Analytics, or related fields, with substantial time operating as a senior or architect‑level individual contributor.
Strong hands‑on experience with enterprise HR systems (e.g., Dayforce, Workday, SuccessFactors or similar) and adjacent tools (ATS, comp/benefits, payroll), including configuration and workflow design.
Demonstrated track record of designing and delivering production‑grade automations or AI‑enabled workflows in HR or adjacent business domains, not just prototypes.
Current, practical AI fluency: you can point to specific LLMs, agents, orchestration tools, or automation platforms you use, what you’ve built with them, and how they’ve changed your own way of working.
Experience designing modern, user‑centric experiences for employees, managers, or People teams—ideally embedded in collaboration tools or in‑product workflows.
Strong analytical skills and a data‑driven mindset; able to define metrics, work with BI tools/partners, and turn insights into roadmap and design decisions.
Excellent stakeholder management skills across People teams (People Ops, HRBPs, Talent, Rewards, Payroll, Workplace, Learning), Product/AI, IT, Finance, and Data/BI, with a track record of influencing without authority.
High standards for data quality, privacy, security, and ethics, particularly when applying AI and automation to compensation, benefits, promotions, and other people decisions.
Strong communication and change‑management skills; you treat documentation, enablement, and adoption as core parts of the job, not afterthoughts.

Nice To Haves

Experience in a high‑growth or SaaS environment is strongly preferred.

Responsibilities

Own and maintain a pipeline of AI and automation use cases across People (lifecycle, Talent Acquisition, Total Rewards, Payroll, People Ops service, Workplace, and adjacent workflows).
Prioritise initiatives based on impact, risk, feasibility, and alignment with People and business strategy, in partnership with People leadership and key stakeholders.
Design and deploy agent‑driven workflows that orchestrate complex, multi‑step processes across systems and teams with minimal manual coordination (e.g., onboarding, offboarding, offer‑to‑hire, comp cycles, benefits/payroll events).
Collaborate with the People Systems Architect to ensure underlying workflows, states, and data structures are agent‑friendly (clear steps, owners, SLAs, and error paths).
Implement robust monitoring, logging, and alerting for AI‑enabled workflows so issues can be detected, investigated, and corrected quickly.
Design decision‑support agents that continuously analyse data and surface recommendations, scenarios, and risks to People and business leaders (e.g., comp change validations, hiring and headcount insights, risk patterns in tickets and lifecycle events).
Partner with Data/BI to build and maintain dashboards underpinning these agents, with clear metrics and definitions.
Establish review and override patterns so HRBPs and leaders own the decision logic while AI provides options, context, and risk flags.
Design and implement always‑on advisory agents that provide context‑aware guidance to employees and managers on People topics, integrated into Slack, email, and internal portals, with clear escalation rules for high‑stakes or complex cases.
Reimagine how employees, managers, and People teams interact with People systems by embedding experiences into the flow of work (e.g., AI‑powered nudges, in‑Slack performance and feedback touchpoints, contextual prompts around key lifecycle events).
Extend and enhance HRIS, ATS, compensation, and benefits tools through integrations, automation, and modern experience layers, rather than recreating functionality from scratch.
Define and document AI guardrails: what agents can auto‑decide vs where human review is required, and how fairness, compliance, and explainability are safeguarded.
Work closely with IT, Security, Legal, and Data/BI to align AI implementations with data privacy, security, and regulatory requirements.
Create reusable patterns, templates, and documentation so AI capabilities can be extended by the People team over time.
Track KPIs for automations and agents (e.g., automation rates, time‑to‑resolution, error/rollback rates, satisfaction, time freed for People teams) and iterate based on real usage and feedback.

Benefits

Employee Share Purchase Plan (ESPP) at a 15% discount
Competitive compensation package
Health benefits
Paid vacation days
Two company-wide Docebo Days
Floating holidays for cultural celebrations
Your birthday off
Coverage offering time with your little one(s)
Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors)
Company-wide events