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This role builds and runs the operating system of Hootsuite's Revenue Enablement function. The GTM Enablement Strategy & Ops Manager designs the AI-powered systems, workflows, and infrastructure that allow enablement to scale across Sales and Customer Office (without scaling headcount). This role builds the machinery that makes the entire function faster, smarter, and measurably more effective.
You own the infrastructure layer: the planning cadence, intake and prioritization framework, reporting model, communication systems, and AI governance architecture. Every system you build should reduce manual effort, increase throughput, and produce field impact that can be traced to revenue outcomes.
This role is open in USA in provinces and states we can legally hire in and will report into the Chief of Staff, Revenue.
WHO YOU ARE:
In all we do, our six guiding principles light the way:
Step Up: Show the world what it looks like to live and work by these guiding principles. #StepUp
One Team: Make Hootsuite a place where everyone feels safe, welcome, valued, and empowered to do their best work without compromising who they are. #OneTeam #FreeToBeMe
Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed
Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile
Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses
Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies
Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
This posting is for a current vacancy for which we are actively hiring.
#LI-NS1 #LI-Hybrid
Use of AI in Hiring
Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All final hiring decisions are made by human decision-makers who use their professional judgement to review and evaluate relevant candidate information in addition to AI outputs. For more information about how we use AI and your rights, please see our Careers Privacy Policy.
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