[Hiring] GTM Architect @ShareGate

Role Description

ShareGate’s customers generate rich signals (product usage, support interactions, renewal dates), but those signals aren’t yet connected into an engine that protects and grows the revenue we already have. As our GTM Developer, Expansion & Retention, you’ll design, build and ship AI agents and agentic workflows that turn those signals into saved renewals and cross-sell pipeline. This is an embedded engineering role within GTM, not back-office ops: you’ll apply the signal-based, agent-first approach we already use for new customer acquisition to the customers we already have.

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.
• Own the data flow between our product usage systems and our CRM so that renewal risk scoring and cross-sell targeting are accurate and trustworthy, including data quality, sender reputation and attribution accuracy.
• 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.

Qualifications

• 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.
• RevOps systems depth: strong CRM fluency and data modeling (HubSpot experience is a plus), clean integrations between product usage data and the CRM, and deliverability management for outbound.
• 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.

Requirements

• Base salary: $110,000 - $140,000. This range reflects our Canada-wide compensation scale. Final offers may be adjusted based on the candidate's region to align with local market conditions.
• 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.

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.

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