Perceptyx

Perceptyx

Senior Enterprise Customer Success Manager

Toronto, CAN · Senior

Sponsorship not specified$140k-$150kDetected 35 days ago
AccessibilityProject ManagementSalesforceAccount ManagementProcess ImprovementCustomer SuccessLeadershipCommunicationCollaborationMentoring

About the role

  • This role is ideal for someone who thinks commercially, acts consultantively, and thrives in a high-growth, dynamic environment.

Responsibilities

  • Lifecycle Ownership: Own full-lifecycle customer success for a book of mid-market and enterprise accounts, driving onboarding, adoption, value realization, renewals, and expansions.
  • Commercial Metrics: Drive gross retention and net revenue retention by proactively protecting renewals and expanding existing accounts through upsell and cross-sell motions.
  • Executive Engagement: Lead Executive Business Reviews (EBRs) and Quarterly Business Reviews (QBRs) with C-suite and senior stakeholders, explicitly linking program outcomes to business metrics and ROI.
  • Own full-lifecycle customer success for a book of mid-market and enterprise accounts, driving onboarding, adoption, value realization, renewals, and expansions.

Requirements

  • You are a self-starter who operates with autonomy in a fast-moving space.
  • 5-7+ years of experience in Customer Success, Account Management, or post-sales consulting within a B2B SaaS environment.

Nice to have

  • Undergraduate degree preferred, or equivalent practical experience.
  • Experience in employee experience (EX), HR tech, or people analytics.

Skills

  • Excellent communication, presentation, organizational, and project management capabilities.
  • Education: Undergraduate degree preferred, or equivalent practical experience.
  • Bonus Points: Experience in employee experience (EX), HR tech, or people analytics.
  • Background partnering with AI-driven platforms or analytics-led software solutions.
  • Prior history of formally mentoring peers or contributing directly to process improvement initiatives.
  • Your Choice (Opt-Out): Participation in recorded interviews is voluntary.
  • Opting out will not negatively impact your candidacy.

Compensation

  • $140,000-$150,000 CAD base salary per year + 25% Incentive Note: Final compensation is determined by factors including experience, geography, and skills.
  • $140,000-$150,000 CAD base salary per year + 25%

Benefits

  • Comprehensive medical, dental, and vision insurance; [401k/RRSP] matching; generous PTO and paid holidays; parental leave; and professional development budget.
  • Build and execute data-driven customer success plans that articulate adoption journeys, risk mitigation strategies, health scoring, and concrete growth paths.
  • Monitor customer health via system usage, product engagement, survey metrics, sentiment, risk flags, and financial indicators to proactively escalate, intervene, or upsell.
  • A data-driven mindset with the ability to analyze usage/health metrics, build compelling value stories, and translate data into strategic action.

Company info

  • About Perceptyx At Perceptyx, we're on a mission to help organizations turn employee insights into measurable impact.
  • Our AI-enabled employee experience platform leverages the science of listening, behavioral nudges, and predictive analytics to help clients elevate engagement, retention, and performance.
  • We're a team of innovators fueled by purpose, collaboration, and excellence - and we're looking for someone who wants to play at the highest level.
  • The Role As a Senior Enterprise Customer Success Manager, you will manage a strategically critical portfolio of enterprise and high-touch customers, owning retention, adoption, expansion, and overall value delivery.

Equal opportunity

  • equal opportunity employer committed to a diverse workforce.
  • If you require an accommodation, please let us know.

Visa & Work Authorization

  • Your Choice (Opt-Out): Participation in recorded interviews is voluntary.
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This listing is sourced directly from Perceptyx's careers page and normalized into a canonical job model.