Toronto, Canada On-site Employment

Litmus is hiring a Senior GTM Stack Developer, Litmus GCC

Responsibilities

  • Salesforce platform Configuration: objects, fields, page layouts, validation rules, record types, permission sets, sharing rules
  • Automation: Flows, Apex triggers, Apex classes, batch jobs, scheduled jobs
  • Data model optimization and schema governance
  • Reports, dashboards, and KPI data layer
  • Sandbox management: org strategy, refresh cycles, deployment across dev/staging/production
  • Ongoing maintenance and enhancements: bug fixes, system updates, Salesforce release adaptation
  • Salesforce CPQ & quote-to-cash
  • Product catalog, pricebooks, bundles, subscription products, product rules
  • Pricing rules, discount schedules, approval matrices
  • Quote templates, output document design, e-signature integration
  • NetSuite ↔ SFDC handoff: own the integration and maintain clean data flow
  • Integrations & API work
  • SFDC ↔ HubSpot sync: contacts, leads, accounts, lifecycle stages, campaign attribution
  • Zendesk → SFDC: support ticket data into revenue pipeline and account health
  • NetSuite ↔ SFDC: evaluate, recommend, implement, and maintain the connector
  • REST and SOAP API integrations using middleware (Make, Workato, or equivalent)
  • Top-of-funnel & enrichment
  • Clay enrichment waterfalls: multi-vendor pipelines, fallback logic, field mapping into SFDC
  • Lead capture → enrichment → scoring → routing logic in SFDC and HubSpot
  • HubSpot workflow automation: lead nurture, lifecycle transitions, campaign operations
  • Testing, QA & deployment
  • Write and maintain Apex test classes meeting ≥85% code coverage on all custom code
  • Build and execute UAT test plans for all major releases before go-live
  • Manage sprint-based delivery cycles: story grooming, build, test, deploy, retrospective
  • Maintain a change log and release notes for every production deployment

Requirements

  • Hands-on experience with Salesforce Core
  • Strong experience with Salesforce CPQ
  • Apex Development (Classes, Triggers, Batch Apex, Scheduled Apex)
  • Lightning Web Components (LWC)
  • Flow Builder (Record-Triggered, Screen, Auto-Launched Flows)
  • SOQL & SOSL query writing
  • REST & SOAP API integrations
  • Experience with Salesforce integrations and middleware (Make, Workato, or equivalent)
  • Product catalog, bundles, pricing rules, and discount schedules in CPQ
  • Quote-to-Order process
  • Approval workflow configuration
  • Apex test class development and maintaining code coverage
  • Sandbox management and deployment using Change Sets/Metadata API
  • Experience integrating HubSpot with Salesforce
  • Experience integrating NetSuite (or similar ERP) with Salesforce
  • Experience with Zendesk (or equivalent support platform) integrations
  • Experience with output document templates
  • Working knowledge of BI tools (Tableau, Looker, or equivalent)
  • Salesforce Certified Administrator
  • Salesforce Platform Developer I
  • Salesforce CPQ Specialist

Nice to Have

  • Experience with AI coding assistants (GitHub Copilot, Cursor, etc.)
  • Understanding of AI-driven enrichment and agentic workflows
  • Experience with Clay enrichment pipelines
  • Familiarity with Salesforce Agentforce/Einstein
  • Familiarity with HubSpot Breeze
  • Ability to validate AI-generated enrichment, lead scoring, and content before production
  • Experience with Git-based source control
  • Exposure to Salesloft or Outreach

Additional Information

  • strong written and spoken English is required
Required Skills
Zendesk
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About company
Litmus

The Modern Industrial Data Platform for AI

Litmus turns fragmented industrial data into a repeatable system for deploying AI across every plant.

Most approaches require rebuilding data pipelines at every site. Litmus standardizes how data is connected, structured, and deployed so teams can scale without starting over.

  • One platform: Replace site-by-site integration work and point solutions. Connectivity, DataOps, UNS, governance, and AI in one architecture.
  • Built for industrial edge: Run applications and AI close to machines with support for offline and air-gapped environments.
  • Designed for multi-site scale: Standardize data models and deployments across plants consistently.
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Job Details
Department Revenue Operations
Category other
Posted 2 months ago