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Buxton

Demand Generation Manager

Posted 9 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
105K-155K Annually
Mid level
Remote
Hiring Remotely in United States
105K-155K Annually
Mid level
The Paid Media Manager will lead multi-channel paid media strategies, optimize campaigns, and analyze performance to drive revenue growth for Audiense. Responsibilities include managing ad budgets, audience targeting, and cross-functional collaboration to achieve marketing goals.
The summary above was generated by AI

Audiense is the audience intelligence platform trusted by global brands, agencies, and publishers to help them understand, segment, and activate their audiences. Our technology enables marketers to connect the dots between social data, cultural signals, and customer behavior — turning insight into marketing action. 


We’re looking for a proactive and organized Digital Marketing Specialist to join our growing marketing team in the demand generation task force. This role is ideal for a data-driven marketer who’s eager to take ownership of key marketing initiatives, collaborate cross-functionally, and help fuel demand and engagement across every stage of the customer journey. 


Audiense is seeking a data-driven Demand Generation Manager to lead and optimize multi-channel paid acquisition programs that drive pipeline growth, qualified leads, and revenue impact. This role will own strategy, execution, testing, and performance analysis across digital advertising channels while partnering closely with demand generation, sales, product marketing, and analytics teams. 


The ideal candidate has experience scaling B2B advertising campaigns, understands attribution and conversion tracking, and can balance creative experimentation with rigorous performance analysis. 

 

What You'll Do

Paid Media Strategy & Execution 

Develop and manage paid acquisition strategies across:  

  • Google/Bing Ads  
  • LinkedIn Ads  
  • Meta Ads  
  • Reddit Ads 
  • YouTube/Video Platforms  
  • Programmatic/display platforms  
  • Retargeting channels  
  • Own campaign setup, budget allocation, bid strategies, and audience targeting.  
  • Build full-funnel campaigns aligned to pipeline and revenue goals.  

Audience & Targeting Optimization 

  • Leverage firmographic, behavioral, and intent-based audience data.  
  • Develop ICP-based segmentation strategies.  
  • Create retargeting and nurture audiences across the buyer journey.  
  • Collaborate with analytics and customer intelligence teams to improve targeting precision.  

Performance & Analytics 

  • Monitor CAC, CPL, ROAS, pipeline contribution, and conversion performance.  
  • Build dashboards and reporting frameworks using platforms such as:  GA4 , Looker Studio, HubSpot & Salesforce  
  • Analyze campaign effectiveness and deliver optimization recommendations.  

Conversion Tracking & Attribution 

  • Ensure accurate campaign tracking and attribution across ad platforms and CRM systems.  
  • Partner with Marketing Ops to troubleshoot attribution discrepancies and tracking issues.  

Testing & Experimentation 

  • Run structured A/B tests on: creative, landing pages, messaging, audiences and bidding strategies  
  • Continuously optimize conversion rates and lead quality.  

Cross-Functional Collaboration 

Partner with:  

  • Demand Generation  
  • Content Marketing  
  • Creative/Design 
  • Product Marketing  
  • RevOps  
  • Sales  

What You'll Bring

  • 3–7+ years managing paid media for B2B SaaS, martech, ecommerce tech, or analytics companies.  
  • Deep expertise in LinkedIn Ads, Google Ads and Reddit Ads. 
  • Strong understanding of attribution models, tracking, and marketing analytics.  
  • Experience with CRM and marketing automation platforms (HubSpot, Salesforce preferred). 
  • Analytical mindset with strong reporting skills.  
  • Experience managing six-figure+ monthly ad budgets preferred.  

 Success Metrics 

  • Marketing Qualified Leads (MQLs)  
  • Sales Qualified Leads (SQLs)  
  • Pipeline generated  
  • Customer Acquisition Cost (CAC)  
  • Return on Ad Spend (ROAS)  
  • Conversion rate optimization  
  • Paid media contribution to revenue 

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