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Performance Marketing & Marketing Operations Manager (Canada)

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Remote from
Canada
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
30 Nov 2026
Listing views
26
Application actions
1
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AI Summary

The role, at a glance.

Appen is hiring a Canada-based remote Performance Marketing & Marketing Operations Manager to run paid media and strengthen marketing systems supporting demand generation. The role owns campaign execution across LinkedIn, Google, X, and ABM channels, with responsibility for budget pacing, funnel performance, and pipeline contribution. It also administers HubSpot workflows, scoring, routing, lifecycle stages, attribution, and marketing data quality. Success depends on improving cost per SQL, maintaining compliant marketing operations, and delivering trustworthy dashboards for Sales and Marketing leadership.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role combines hands-on paid acquisition optimization with complex marketing-operations ownership, attribution, and cross-functional lead-management work. It requires independent prioritization while being accountable for measurable pipeline and efficiency outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$105,000
US market range (per year)$90k–$120k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The annual cadence is inferred from the permanent full-time Canadian marketing-manager role; the displayed USD figures are estimated market compensation, not employer-provided pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you diagnose a rising cost per sales-qualified lead across paid channels?

I would first validate tracking, attribution, lead-stage definitions, and CRM data quality. Then I would segment performance by channel, audience, creative, landing page, geography, and time period to identify the source of the increase. I would test targeted changes to audience quality, bidding, creative, offers, and conversion paths while monitoring both SQL volume and downstream pipeline.

Describe how you would improve lead routing and handoff between Marketing and Sales in HubSpot.

I would map the current lifecycle stages, ownership rules, routing logic, SLAs, and failure points with both teams. I would implement clear qualification criteria, automated assignment workflows, alerts, exception handling, and dashboards for speed-to-lead and acceptance rates. I would also establish a recurring feedback loop so scoring and routing rules reflect actual sales outcomes.

What is your approach to building a practical multi-touch attribution model?

I would begin with clean UTM conventions, consistent campaign naming, reliable CRM stage data, and agreed definitions of sourced and influenced pipeline. I would select an attribution approach appropriate to the buying cycle, such as first-touch, last-touch, and weighted multi-touch views, rather than relying on one model alone. The resulting dashboard would connect spend, engagement, SQLs, opportunities, and pipeline to support decisions.

How would you allocate a limited paid media budget between LinkedIn, Google Search, and retargeting?

I would allocate an initial test budget based on historical performance, audience intent, campaign maturity, and expected conversion lag. Search would typically capture existing demand, LinkedIn would create and target demand among priority accounts, and retargeting would improve conversion efficiency. I would reallocate incrementally based on qualified lead quality, opportunity creation, pipeline contribution, and marginal cost per SQL.

How do you ensure marketing automation remains compliant with GDPR, CAN-SPAM, and CASL?

I use documented consent and subscription-management processes, appropriate legal bases, clear unsubscribe mechanisms, and auditable preference records. I ensure workflows honor suppression lists, regional requirements, and data-retention standards, while regularly testing forms and email logic. I also partner with legal or compliance stakeholders when entering new markets or changing data practices.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About the Role

We’re looking for a Performance Marketing & Marketing Operations Manager to drive paid media performance and manage the marketing systems that support our growth.

Reporting to the Director of Demand Generation, you’ll own campaign execution, budget optimization, and HubSpot operations, helping us reach AI research labs and enterprise AI teams. This is a hands-on role for someone who enjoys turning marketing strategies into measurable pipeline, improving processes, and using data to make smarter decisions.

Your Impact

  • Own and optimize paid campaigns across LinkedIn Ads, Google Ads, X Ads, and account-based marketing (ABM) programs.
  • Manage paid media budgets, including allocation, pacing, and performance against pipeline goals.
  • Build targeted and retargeting audiences using account insights and intent data to improve campaign effectiveness.
  • Monitor cost per lead (CPL), cost per sales-qualified lead (SQL), and pipeline contribution through ongoing A/B testing and performance reporting.
  • Manage HubSpot operations, including workflows, forms, lead scoring, lifecycle stages, and marketing automation.
  • Improve lead routing, Sales handoffs, and data quality to support a more efficient conversion process.
  • Maintain UTM tracking standards and build attribution models and full-funnel dashboards that provide actionable insights to leadership.
  • Oversee marketing technology integrations and ensure email marketing compliance with GDPR, CAN-SPAM, and CASL.
  • Partner with Sales and Marketing to improve campaign performance, lead management, and reporting accuracy.

What You Bring

  • 3–5 years of experience in B2B performance marketing and marketing operations, ideally in a technology or SaaS environment.
  • Hands-on expertise with LinkedIn Ads and Google Ads, including campaign management, optimization, and budget ownership.
  • Strong HubSpot administration skills, including marketing automation, lead scoring, workflows, and lifecycle management.
  • Familiarity with account-based marketing (ABM), intent data, and audience segmentation.
  • Proven ability to analyze marketing performance, build attribution models, and report on funnel and pipeline metrics.
  • Practical experience using AI tools to improve everyday marketing workflows, efficiency, and campaign execution.
  • Strong attention to detail, analytical thinking, and the ability to manage competing priorities independently.
  • A proactive, results-oriented approach with a willingness to test, learn, and continuously improve.

Nice to Have

  • Experience in AI, machine learning, data, or related technology industries.
  • Familiarity with Salesforce administration or CRM integrations.
  • Knowledge of SQL or business intelligence tools such as Looker Studio or Tableau.
  • HubSpot, Google Ads, or LinkedIn Marketing certifications.

What Success Looks Like

Within your first 90 days, you’ll have taken ownership of our paid media programs, identified opportunities to improve campaign performance, and strengthened our marketing operations.

You’ll establish clear performance benchmarks, improve lead routing and scoring, and deliver reporting dashboards that Marketing and Sales can rely on. Success means maintaining paid media spend within the plan, reducing cost per SQL, and building a more reliable view of marketing’s contribution to pipeline.

Why You’ll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

Compensation

Additional Information

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