×
Register Here to Apply for Jobs or Post Jobs. X

GTM Engineer

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: Poka EN
Full Time position
Listed on 2026-11-06
Job specializations:
  • Sales
    CRM Systems & Management
  • IT/Tech
    CRM Systems & Management
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CAD Yearly CAD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Montreal

At Poka, we're changing how the world's industrial teams work — capturing the knowledge of their best people and putting it in every operator's hands.

Our connected worker platform is purpose-built for manufacturing and the wider industrial world, with industrial AI inside the shift, not on top of it. The result: frontline performance that becomes compounding knowledge and measurable impact — every shift, every site, every region.

We're proud to support global leaders like Nestlé, Bosch, Mars, and Danone across 3,000+ sites in 70+ countries. And as a fast-growing part of the IFS family, you'll join a team whose daily work directly shapes the platform behind how modern manufacturing gets done.

We’ve built a GTM stack most companies our size would envy. Now we need the GTM engineer who’ll make it sing. You’ll be our first, and the one who sets what good looks like.

Role overview

As our GTM Engineer, you'll make AI central to how Poka goes to market. Sitting at the intersection of Marketing, Sales, Pre-Sales and Customer Success, you'll find where AI can remove manual work, connect our tools and help our people sell to and serve customers better.

You’ll own the full loop: spotting the opportunity, testing it fast, building what works and embedding it into how our teams operate every day. That means automating and integrating our GTM stack — Salesforce, Hub Spot, Gong (including Gong Engage), Clay, 6sense, Conversica, Claude Enterprise and more — and building AI agents and workflows our teams actually use, not just admire.

You'll also build the reporting that shows where our processes leak time and pipeline, so every iteration is grounded in data.

This is a hands-on builder role with high visibility across our marketing and commercial leadership — and a real chance to get full value from the tools we already have while shaping what we add next.

What you'll be doing
  • Embed with our Marketing, Business Development, Account Executive, Account Management, Pre-Sales and Customer Success teams to understand how they work and where AI can make the biggest difference
  • Design, build and deploy AI agents and automated workflows across the GTM lifecycle: account research, signal monitoring, prospecting, lead follow-up, call preparation, deal intelligence, forecasting support, proposals, and renewal and expansion plays
  • Integrate and automate our GTM stack so data flows cleanly between systems and our teams spend less time on admin
  • Build the reports and dashboards that surface process gaps and inefficiencies, informing process changes and highlighting where teams need enablement
  • Run a steady cadence of experiments: test quickly, measure what works, kill what doesn't and scale the winners
  • Evaluate new GTM AI tools and vendors, run proofs of concept, and make clear build, buy or skip recommendations
  • Drive adoption of our existing GTM AI and tooling, closing the gap between what we've bought and what we use
  • Partner with leaders across Rev Ops, Marketing, Sales and Pre-Sales to prioritise a roadmap of AI use cases and turn their ideas into working systems
  • Measure and report impact to leadership: hours saved, pipeline influenced, conversion and adoption
  • Document what you build and hand over what's ready to scale to Sales Enablement and Rev Ops, so it's rolled out and used well
  • Keep governance, data quality and security front of mind, including GDPR and data privacy requirements across our European business
What you bring
  • 3+ years in GTM Engineering, Rev Ops, Sales or Marketing Operations, Growth Engineering or a similar technical role in B2B SaaS
  • Hands-on experience building with LLMs and AI agents in production, not just experimenting with prompts
  • Strong Salesforce knowledge, including data models, APIs, automation and…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary