ShareGate - GTM Engineering
Requirements
• Background in RevOps, GTM/marketing operations, customer success operations or GTM engineering, with hands-on experience building automation; • Hands-on experience with low-code orchestration (n8n, Make, Zapier or similar), plus working knowledge of Python or TypeScript for API integrations and data transformation; • fluency with agentic tools and MCP connectors. Strong LLM workflow design (agent orchestration, tool use, evaluation), sound judgment on when AI adds leverage versus complexity, and a track record of shipping AI agents or LLM workflows to real users, not just prototypes; • Working SQL to query and validate usage, support and renewal data., so you can build and trust the data behind your agents; • CRM fluency (HubSpot a plus): enough to design agents on our data model and work with Revenue Systems on what you need. • Understanding of subscription business metrics (renewal rate, net retention, customer lifetime value), and experience with or strong interest in outbound and signal-based go-to-market motions; • The ability to work directly with Sales and Account Management, translate complex builds into plain language, and earn adoption through demos and handoff docs, without a PM to bridge the gap; • Bonus: experience building AI-driven qualification or scoring systems; a B2B SaaS background with multiple product lines, ideally product-led or demo-led; published technical content that makes complex systems accessible. • Most of this sounds like you? Apply.
Responsibilities
• Your impact: • Protect renewals by building AI agents that continuously monitor renewal health and flag at-risk accounts to Account Managers early, with context, recommended next steps and enough lead time to act. • Grow revenue from our existing customers by designing and running an agentic cross-sell motion: score fit for our second product line, research each account, personalize outreach, qualify interest and route genuine intent to the right salesperson with the full context needed to close. • Define the signals your agents need and partner with Revenue Systems, which builds and owns the data flow between product usage and the CRM. Validate the data with SQL before you act on it. • Replace manual workflows with AI agents and reusable pipeline modules (not one-off automations) that Account Management and Sales can run and own on their own. • Tune both motions by owning reporting on pipeline generated, conversion, renewal outcomes and revenue impact, and by running controlled experiments without adding headcount. • Drive adoption by turning everything you build into SOPs, demos and playbooks, so the team uses what you ship, not just appreciates it. • Your team • You’ll join a GTM engineering effort that already runs a signal-based, agent-first approach to new customer acquisition, and now points it at the customers we already have. The challenge: connect usage, support and renewal signals into agents that reduce the friction between signal and action. The tools, plays and channels will evolve; that mission won’t. • Our stack: low-code orchestration (n8n, Make, Zapier or similar), Python or TypeScript, SQL on our data warehouse, and our CRM (HubSpot). • OTE: $120,000 - $155,000 • LTIP program, share in Workleap's long-term growth. • RRSP + Family health insurance + telemedicine + annual wellness budget. • Flexible vacation policy. • Remote work, with access to our Montreal office. • In-person gathering twice a year. • Claude access, for everyone. • Note: The internal title for this role is GTM Architect. • What drives us • What drives us • We build software that sits at the center of how people experience work, every day, at every level. • We move fast. Priorities shift, decisions get made with the information we have, and we iterate. If you thrive on intensity and ambiguity doesn't slow you down, you'll feel right at home.We're builders. We do what it takes to move forward. AI is part of our toolkit. We use it to go faster and decide smarter, not to replace judgment. • If you want real impact and a place where your decisions matter, this is it. • How we hire • How we hire • Transparency is how we hire — for you as much as for us. • Here's how it works: a first call with a recruiter, then a virtual interview with the hiring manager. You'll then complete a take-home case study, followed by a meet with future colleagues to discuss it together. Depending on the role, the process may vary slightly — your recruiter will walk you through it on your first call. • We use AI to support certain steps of the process, but every hiring decision remains human. • We can't wait to meet you. • By applying, you confirm that you have read and agree to our privacy policy.
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