About the Job
Litmus is building the data foundation that powers industrial AI.
AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time,...
Key Responsibilities
Litmus is hiring a Senior GTM Stack Developer to own the technical layer of our revenue operations. You design, configure, automate, integrate, test, and maintain the systems that power our commercial process end-to-end. You'll work closely with our Director of RevOps and Manager of Revenue Operations to translate business requirements into working systems across our Salesforce-centric GTM stack.
This is an engineering role. You read a requirements doc, ask the right technical questions, and ship clean, tested solutions. You own the quality of what you build – not just the initial delivery.
You'll operate in a sprint-based environment with structured QA cycles, documented releases, and clear handoff standards. You work async with a Toronto-based team, so strong written and spoken English is required.
There is also room to grow into this role. Litmus is actively bringing AI-driven enrichment and agentic workflows into the GTM stack (Clay’s AI enrichment logic, Salesforce Agentforce/Einstein, HubSpot Breeze), and you’ll have a direct hand in deciding how those capabilities get designed into our commercial systems, not just maintaining what already exists.
• 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
• 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
• Clay integration and 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
• 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)
• 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: user stories, build, test, deploy, retrospective
• Maintain a change log and release notes for every production deployment
Required Skills & Abilities
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
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
