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Workleap

AI talent management platform for HR

GTM Architect

AI Application EngineeringUpdated on Nov 14
Full-timeRemote in Canada

About the Job

Requirements

  • Experience in RevOps, GTM or marketing operations, customer success operations, or GTM engineering, including hands-on automation design.
  • Hands-on experience with low-code orchestration tools such as n8n, Make, Zapier, or equivalent, and working knowledge of Python or TypeScript for API integrations and data transformation.
  • Familiarity with agentic tools and MCP connectors, and strong LLM workflow design skills including agent orchestration, tool use, and evaluation; judgment about when AI adds value; and evidence of delivering AI agents or LLM workflows to real users.
  • Working SQL skills to query and validate product usage, support, and renewal data.
  • Familiarity with CRMs and ability to design agents using a CRM data model and coordinate requirements with Revenue Systems; HubSpot is an asset.
  • Understanding of subscription business metrics such as renewal rate, net retention, and customer lifetime value, and experience or strong interest in outbound, signal-based go-to-market approaches.
  • Ability to work directly with sales and account management, explain complex solutions, and gain adoption through demos and handoff documentation without relying on a product manager as intermediary.

Responsibilities

  • Build AI agents that continuously monitor renewal health and flag at-risk accounts to account managers early, with context, recommended next steps, and time to act.
  • Design and operate an agentic cross-sell motion for existing customers by assessing fit with the second product line, researching accounts, personalizing outbound messages, qualifying interest, and routing genuine purchase intent with context to the appropriate salesperson.
  • Define the signals agents need and collaborate with Revenue Systems, which builds and manages data flows between product usage and the CRM; validate data with SQL before acting.
  • Replace manual processes with AI agents and reusable pipeline modules that account management and sales can run and manage autonomously.
  • Own reporting on generated pipeline, conversion, renewal outcomes, and revenue impact, and run controlled experiments without adding headcount.
  • Drive adoption by turning deliverables into standard operating procedures, demos, and playbooks.

Desired Qualifications

  • Experience designing AI-driven qualification or scoring systems.
  • B2B SaaS experience across multiple product lines, ideally in a product-led or demo-led environment.
  • Published technical content that makes complex systems accessible.

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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