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exacare ai

AI-powered CRM for senior living

GTM Engineer

Sales OperationsUpdated on Nov 12
Full-timeToronto, ON, CanadaNo salary listedIn-person

About the Job

Requirements

  • At least 1 year of experience in GTM engineering or similar GTM or Revenue Operations roles; 2 or more years of B2B SaaS experience is stated as ideal, with sales-led experience preferred.
  • Experience building and operating data pipelines, integrations, automations, or internal tools in a B2B go-to-market environment, and the ability to explain their business outcomes or learnings.
  • Ability to use SQL and Python or JavaScript to work with messy data, with knowledge of data models, identifiers, transformations, deduplication, and entity resolution.
  • Hands-on experience connecting tools through APIs, webhooks, and automation platforms such as Clay or n8n, including handling authentication, rate limits, failures, and monitoring.
  • Experience building or maintaining account and contact datasets using multiple sources or web scrapers, assessing coverage and accuracy, finding useful signals, and making those signals actionable.
  • Experience building AI-powered workflows for research, classification, or personalization; ability to supply context, evaluate output quality, and identify where human review is needed.
  • Ability to work with Sales, Growth, and GTM Operations to understand workflows, translate problems into practical systems, prioritize impact, test quickly, and take responsibility for delivered solutions.

Responsibilities

  • Build and own the technical stack supporting the go-to-market motion, including connecting and improving the CRM, enrichment providers, conversation intelligence, and outbound tools, and deciding what to buy, build, or assemble.
  • Create reliable account, facility, contact, and activity data for Sales and Growth by building integrations, data models, and pipelines that connect activity across systems.
  • Build and maintain a GTM context layer that structures customer insights, competitive knowledge, and first-party data for team and AI workflows, including a process to keep that context current based on calls, campaigns, and deal outcomes.
  • Identify market, customer, and behavioral signals for account prioritization and timing; use custom scrapers or other approaches where needed, and test whether signals improve targeting or qualified pipeline.
  • Partner with Growth and Sales to turn first-, second-, and third-party data into experiments, targeted campaigns, and timely representative action, and develop successful tests into repeatable systems.
  • Work with business development representatives, account executives, and GTM Operations to identify breakdowns in research, handoffs, and follow-up, then build internal tools or interfaces to address them.
  • Build workflows across the GTM engine for account research, prioritization, routing, representative preparation, personalization, and other repeatable work.

Desired Qualifications

  • Two or more years of B2B SaaS experience, preferably in a sales-led environment.
  • Background in analytics engineering, data science, or engineering.

About the Company

exacare ai

AI-powered CRM for senior living

ExaCare provides a subscription-based AI-powered CRM platform for senior living communities, including assisted living, independent living, and memory care facilities, to boost occupancy and streamline operations. The product blends CRM with AI automation to handle marketing, lead nurturing, care plan generation, billing, and compliance, all delivered as a SaaS. It stands out by focusing specifically on the senior living sector and offering an integrated solution that covers marketing, enrollment, resident care planning, billing, and regulatory needs in one platform, with AI for marketing optimization and talent engagement. Its goal is to help communities run more efficiently, reduce administrative work, and improve resident care by enabling better marketing, sales execution, and compliant operations.

Company size
51-200
Company stage
Series A
Total funding
$37.5M
Headquarters
New York City, New York
Founded
2022

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