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Workleap

AI talent management platform for HR

GTM Engineering - ShareGate

AI Application EngineeringUpdated on Nov 14
Full-timeRemote in Canada

About the Job

Requirements

  • Background in Revenue Operations, go-to-market or marketing operations, customer success operations, or go-to-market engineering, with hands-on automation-building experience.
  • Hands-on experience with low-code orchestration tools such as n8n, Make, or Zapier, plus working knowledge of Python or TypeScript for API integrations and data transformation.
  • Fluency with agentic tools and Model Context Protocol connectors, strong large language model workflow design skills covering agent orchestration, tool use, and evaluation, sound judgment about when artificial intelligence adds leverage versus complexity, and a track record of shipping artificial intelligence agents or large language model workflows to real users.
  • Working SQL skills to query and validate usage, support, and renewal data.
  • Customer relationship management fluency, with HubSpot experience as a plus, sufficient to design agents on the company's data model and collaborate with Revenue Systems.
  • Understanding of subscription business metrics, including renewal rate, net retention, and customer lifetime value, and experience with or strong interest in outbound and signal-based go-to-market motions.
  • Ability to work directly with Sales and Account Management, explain complex builds in plain language, and gain adoption through demonstrations and handoff documentation without a project manager as intermediary.

Responsibilities

  • Protect renewals by building artificial intelligence agents that continuously monitor renewal health and flag at-risk accounts to Account Managers early, with context, recommended next steps, and enough lead time to act.
  • Grow revenue from existing customers by designing and running an agentic cross-sell motion: score fit for the second product line, research each account, personalize outreach, qualify interest, and route genuine intent to the appropriate salesperson with context needed to close.
  • Define the signals agents need and partner with Revenue Systems, which builds and owns the data flow between product usage and the customer relationship management system; validate data with SQL before acting on it.
  • Replace manual workflows with artificial intelligence agents and reusable pipeline modules that Account Management and Sales can run and own independently.
  • Tune both motions by owning reporting on pipeline generated, conversion, renewal outcomes, and revenue impact, and by running controlled experiments without adding headcount.
  • Drive adoption by converting deliverables into standard operating procedures, demonstrations, and playbooks so teams use the shipped tools.
  • Build artificial intelligence agents and agentic workflows that turn customer signals into saved renewals and cross-sell pipeline.

Desired Qualifications

  • Experience building artificial intelligence-driven qualification or scoring systems.
  • A business-to-business software-as-a-service background with multiple product lines, ideally product-led or demonstration-led.
  • Published technical content that makes complex systems accessible.
  • Experience with HubSpot.

About the Company

Workleap

AI talent management platform for HR

Workleap provides an AI-powered talent management platform designed to improve the employee experience in hybrid work settings. It combines performance management with compensation management (added after acquiring Barley) to connect how well employees perform with how they are rewarded, creating a holistic view of talent development. The platform helps HR teams and business leaders streamline various parts of the employee lifecycle—from onboarding to performance reviews—through an integrated suite of tools that boost engagement and develop high performers. Compared with competitors, Workleap offers an all-in-one HR technology solution that ties performance directly to compensation, enabling data-driven decisions and easier talent development across the organization. The company’s goal is to help organizations optimize talent management, increase employee engagement, and improve retention by providing a unified, AI-assisted platform tailored for hybrid work environments.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$91.7M
Headquarters
Montreal, Canada
Founded
2006

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