Owns and optimizes the marketing technology stack, especially HubSpot, while improving processes, automation, data quality, analytics, and reporting. Leads cross-functional initiatives across Marketing, Sales, and RevOps, implements AI-powered workflows, manages lead scoring and lifecycle automation, and trains teams on marketing technology best practices.
The Marketing Operations Lead owns the engine behind our marketing team the tech stack, the processes, the data, and the systems that let every campaign run smoothly and every result get measured. This person keeps HubSpot humming, brings AI tools into everyday workflows, and partners across Marketing, Sales, and RevOps to keep projects moving and reporting sharp.
Key Responsibilities:
- Own and optimize the marketing technology stack, with HubSpot as the core platform — administration, workflows, integrations, and data hygiene
- Design and continuously improve marketing processes to increase team efficiency and campaign velocity
- Build and maintain analytics and reporting frameworks that give leadership a clear, accurate view of marketing performance and ROI
- Lead cross-functional projects that span Marketing, Sales, and other departments, keeping timelines, stakeholders, and deliverables aligned
- Identify and implement AI-powered tools and workflows to improve marketing productivity, personalization, and speed to execution
- Manage lead scoring, segmentation, and lifecycle automation within HubSpot
- Serve as the internal expert and go-to resource for MarTech questions, training, and best practices
- Monitor data quality across marketing systems and ensure clean handoffs with sales and CRM data
Requirements:
- 5+ years in marketing operations, demonstrated HubSpot administration/expertise (certifications a plus)
- Proven experience with marketing analytics, reporting, and dashboarding
- Track record leading cross-functional projects with multiple stakeholders
- Hands-on experience applying AI tools to marketing workflows (content, personalization, automation, or analysis)
- Strong process-design and documentation skills
- Excellent communication skills — able to translate data and systems into clear recommendations for non-technical stakeholders
- B2B SaaS or real estate industry experience a plusequirem
Lone Wolf Technologies Cambridge, Ontario, CAN Office
Cambridge, Canada
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides strategic and technical guidance to enterprise customers using Atlassian products and solutions. Partners with stakeholders to address business challenges, improve enterprise agility, map operating practices to product capabilities, and implement strategy and planning tools. Creates prescriptive solution content, supports adoption and enablement, advocates for customer needs internally, and identifies expansion opportunities. The role requires significant SaaS and customer-facing experience, expertise in enterprise strategy and Agile tools, AI integration familiarity, and up to 30% travel.
Top Skills:
Agentic AiAgileAlignAtlassianAzure DevopsFocusJira PlansMcpRallyRational Team ConcertRovoSaaSStrategy CollectionTalentVersionone
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.
Top Skills:
AWSBitbucketCi/CdConfluenceCypressDockerGitJavaJavaScriptJestJIRAMicroservicesMochaMySQLNode.jsPostgresPythonReactRest ApisTypescript
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.
Top Skills:
Ai AgentsAutomated EvaluationExperimentationFull-Stack DevelopmentGenerative AiInformation RetrievalMachine LearningProduction Monitoring
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
