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, reduce downtime, and optimize production.
Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.
Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.
We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.
At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.
We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.
We are hiring a GTM Engineer to build the systems that turn our go-to-market strategy into execution at scale. This is a hands-on, builder-first role sitting at the center of Sales, Marketing, Partnerships, and Customer Success. You will own our Salesforce-centric revenue stack, design AI-driven workflows for enrichment, routing, and outbound, and translate messy commercial problems into clean, automated systems.
This is the right role for someone who lives in the balance between developer and strategist. You can build a Clay enrichment waterfall or a CPQ rule in the morning, then sit in a pipeline review in the afternoon and tell leadership what the data actually means. You are as comfortable shipping automations as you are questioning whether we are solving the right problem.
Litmus is disrupting the industrial data market, and our GTM motion is scaling fast. You will be a force multiplier for the entire revenue team.
Build and own the GTM tech stack. Administer and optimize our Salesforce-centric ecosystem (Sales Cloud + CPQ), HubSpot, Clay, Salesloft/Outreach, and Zendesk. Keep them integrated, clean, and aligned to how revenue flows from lead to renewal.
Engineer automated workflows. Design and ship lead routing, data enrichment pipelines, account scoring, signal-based triggers, and sequence logic. Replace manual, repetitive work with systems that scale across thousands of accounts without losing quality.
Deploy AI across the funnel. Use AI to enrich and qualify accounts, draft and personalize outreach, summarize activity, and surface signals. Build AI copilots and agents that make SDRs, AEs, marketers, and CS more productive. Stay ahead of the tooling curve and bring new capabilities to the team.
Own Salesforce CPQ and quote-to-cash. Configure and maintain product catalog, pricing rules, discounting, and approval workflows so quoting is fast and accurate. Ensure clean handoffs from quoting into downstream ERP/finance systems (e.g. NetSuite) so quote-to-cash stays accurate end to end.
Connect post-sale workflows. Integrate and optimize Zendesk so support workflows, customer feedback loops, and CS data flow cleanly into the broader revenue picture, giving the team full lifecycle visibility from first touch to renewal.
Turn data into decisions. Build dashboards, reports, and KPIs across pipeline health, conversion, productivity, forecast accuracy, churn, and attribution. Drive data-driven decision-making with insights leadership can act on.
Support forecasting and planning. Partner with sales leadership on accurate, data-backed forecasts and scalable models. Provide operational support for QBRs, annual planning, and ABM/ICP targeting.
Run it like a project, document it like an engineer. Manage multiple initiatives to deadline, maintain clear documentation of systems and processes, and drive adoption through training and enablement.
Builder + strategist balance. You have hands-on technical/developer skills (data modeling, integrations, APIs, automation logic, ideally some SQL or light scripting) and the business sense to know what is worth building and why.
AI-driven by default. You reach for AI to move faster and you have built (or are eager to build) workflows powered by it. You treat new tooling as an advantage, not a threat.
Deeply detail-oriented. You care about data integrity, clean configuration, and edge cases. You catch the broken routing rule before it costs a deal.
Customer-centric. You design systems with the end user in mind, the rep, the marketer, the prospect, the customer, not just the org chart.
Strong project management. You juggle multiple workstreams, prioritize ruthlessly, and ship on time without dropping quality.
Salesforce (Sales Cloud + CPQ), HubSpot, Clay, Salesloft/Outreach, and Zendesk, plus enrichment, BI, and workflow automation tools. Bonus if you have worked with Make/n8n, AI builders, or have light coding experience.
6–8 years in Revenue Operations, GTM Engineering, Sales Ops, or a similar technical GTM role, ideally in B2B enterprise software.
Proven hands-on Salesforce expertise (configuration, automation, reporting); CPQ experience strongly preferred.
Experience with HubSpot, Clay, a sales engagement platform (Salesloft or Outreach), and Zendesk for customer support operations.
Familiarity with ERP systems such as NetSuite, and how CRM/CPQ data flows into quote-to-cash, billing, and revenue recognition.
Strong data analysis and forecasting skills; comfortable with BI tools and advanced spreadsheet work.
Excellent communication; you can present complex systems and data to technical and non-technical stakeholders alike.
Salesforce Administrator and Platform certifications; Clay, HubSpot, or Salesloft/Outreach certifications.
Experience scaling GTM systems at a fast-growing enterprise software company.
Exposure to ABM, ICP modeling, or industrial/IoT/data markets.
Base salary range: CA$110,000 – CA$120,000, plus a performance bonus. Final offer depends on experience and depth of technical skills. Based in Toronto, Ontario (hybrid).
RevOps Roles analysis
Benefits, tools, and company context we extract from the full posting and classify, so you can scan in seconds what the write-up buries in prose.
Opens in a new tab
Litmus is a growth-stage Industrial IoT software company offering an edge data platform that connects, collects, and analyzes machine data to enable Industry 4.0 and smart manufacturing. It targets Fortune 500 manufacturers and industrial enterprises seeking digital transformation via edge computing and AI.
Visit website