AlayaCare

AlayaCare

Senior GTM AI & Automation Specialist

Toronto, Canada · Senior

Sponsorship not specifiedDetected 5 days ago
JavaScriptPythonSQLData VisualizationAI OrchestrationA/B TestingHubSpotCRMPipeline ManagementForecastingOnboardingCustomer SuccessResearchLeadershipCollaboration

About the role

  • Our GTM teams are sharp, the market is growing fast, and we are scaling with intent.
  • The question is not whether to win - it is how fast and how far we can go.

Responsibilities

  • Find and build the highest-leverage AI opportunities
  • Partner with Sales, Marketing, Customer Success, and Revenue Operations & Enablement to identify manual work, bottlenecks, and data gaps where AI creates the most leverage.
  • Design, build, deploy, and scale AI-enabled workflows and agents across the revenue organization - from prospecting and pipeline management to customer onboarding, retention, and expansion.
  • Own a prioritized backlog of AI and automation opportunities: define requirements, prototype fast, ship, measure impact, and iterate relentlessly.
  • Research, evaluate, and pilot emerging AI technologies, agent-based workflows, and automation platforms to validate high-value applications before committing at scale.
  • Own the revenue tech stack as a unified, intelligent system
  • Evaluate, optimize, and manage the integration of core revenue technology platforms - including HubSpot, Gong, ChurnZero, and related tools - ensuring clean data flows, reliable automation, and maximum utilization across the customer lifecycle.
  • Design and document scalable integration logic, workflow architectures, and solution designs that connect the revenue tech stack into a coherent operating system.
  • Support GTM operations including lead routing, data enrichment, account prioritization, pipeline management, forecasting, attribution, and revenue intelligence as the business evolves.
  • Build dashboards and reporting frameworks that surface actionable insights and demonstrate the ROI of AI and automation investments across the revenue org.

Requirements

  • You know what a seller needs before a discovery call, what a CSM needs to identify churn risk early, and what a marketer needs to prioritize the right accounts.
  • You have built things that delivered those outcomes.
  • Track record of driving adoption across Sales, Marketing, CS, IT, and Leadership without formal authority - influencing through outcomes, not authority.
  • You have seen the inefficiencies from the inside, you know exactly where the friction lives, and you are ready to eliminate it permanently.
  • Builder instinct, not advisor instinct
  • You have designed, built, and shipped AI-enabled workflows that are still running without you. Not proofs of concept - production systems with measurable outcomes.
  • Hands-on fluency with AI automation platforms - Clay, Zapier, Make, Workato, n8n, or equivalent - integrated with CRM, marketing automation, and customer success tools beyond surface-level configuration.
  • Working knowledge of prompt engineering, agent-based workflows, AI orchestration, and emerging approaches like Model Context Protocol (MCP) - enough to evaluate, build, and govern with confidence.
  • You don't need to be a deep engineer to succeed here. You manage tools effectively, understand APIs at a working level, know when to iterate versus when to escalate, and collaborate with technical colleagues when the problem demands it. Scripting ability in Python or JavaScript is a genuine bonus - vibe-code welcome.
  • Revenue fluency from lived GTM experience
  • Real time spent inside a revenue organization - RevOps, Sales Ops, Marketing Ops, Enablement, or GTM Operations - with a working understanding of how deals move, customers expand, and where friction lives.
  • You know what a seller needs before a discovery call, what a CSM needs to identify churn risk early, and what a marketer needs to prioritize the right accounts. You have built things that delivered those outcomes.
  • Able to translate between business problems and technical requirements without losing either side of the conversation.
  • Data-driven and analytically sharp

Nice to have

  • You don't need to be a deep engineer to succeed here.

Skills

  • About AlayaCare
  • AlayaCare is the operating platform for home-based care.
  • The answer is leverage.

Benefits

  • Scripting ability in Python or JavaScript is a genuine bonus - vibe-code welcome.

This listing is sourced directly from AlayaCare's careers page and normalized into a canonical job model.