Performance Marketing Manager (MarTech & Analytics-Focused)

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About Us:

We are a forward-thinking growth marketing team at the intersection of data, technology, and performance media. We leverage MarTech ecosystems, automation, and advanced analytics to drive scalable acquisition systems and measurable revenue growth.

Role Overview:

We are looking for a Performance Marketing Manager with deep technical expertise in MarTech, analytics, and campaign optimization. This role is ideal for someone who thrives at the intersection of media buying, data strategy, and automation using technology to deliver high-impact results across multiple paid channels.

Key Responsibilities:

1. Paid Media Architecture & Optimization

• Design and manage multi-channel acquisition strategies across Google Ads, Meta, LinkedIn, X, TikTok, and programmatic DSPs.
  
• Leverage first-party and offline data to enhance algorithmic bidding and campaign efficiency.
  
• Implement campaign automation via scripts, APIs, and platform integrations (e.g., Google Ads Scripts, Meta Marketing API).
  
• Conduct incrementality testing, lift studies, and multi-variate experiments to measure real performance impact.
  
• Lead conversion rate optimization (CRO) through landing page experiments, heatmaps, and behavior analytics tools (Hotjar, Microsoft Clarity).
  

2. Audience Management & Data Strategy

• Build cross-channel audience frameworks using CRM, CDP integrations, and event-based triggers.
  
• Segment audiences via RFM analysis, customer journey stages, and predictive LTV scoring.
  
• Deploy lookalike expansion and retargeting campaigns via pixel and API (Meta CAPI, Google Enhanced Conversions).
  
• Ensure data integrity and compliance across consented tracking, hashed identifiers, and anonymized first-party data stores (GDPR, CCPA).
  

3. MarTech & Automation Stack Management

• Own and optimize marketing technology ecosystems, including CRM (HubSpot, Salesforce), automation (Marketo, ActiveCampaign), CDP (Segment, Bloomreach), and analytics (GA4, BigQuery, Looker).
  
• Develop and maintain data layer specifications (DLV) and GTM containers for accurate event tracking.
  
• Implement server-side tagging and CAPI setups to improve attribution and mitigate signal loss (ITP, ATT).
  
• Collaborate with DevOps and Data Engineering teams to unify campaign data into BI dashboards.
  

4. Analytics, Measurement & Attribution

• Develop multi-touch attribution models (linear, time decay, data-driven) to evaluate ROI across channels.
  
• Build automated dashboards to track CPA, ROAS, CLV, and CAC payback period using GA4, BigQuery, and Looker Studio.
  
• Implement data validation and anomaly detection scripts to ensure accuracy.
  
• Partner with finance and sales ops to align marketing performance with pipeline and revenue.
  

5. Social Media & Content Amplification

• Lead paid and organic strategies on Meta, LinkedIn, TikTok, and YouTube, integrating content intelligence with performance data.
  
• Use AI-driven creative analysis tools (Pattern89, CreativeX) to optimize ad creative iterations.
  
• Integrate social signals into attribution and engagement scoring models to measure brand lift and awareness impact.
  

Qualifications:

• Bachelors or Master’s in Marketing, Data Science, Computer Science, or related field.
  
• 5–8 years of hands-on performance marketing experience with a focus on MarTech and analytics.
  
• Advanced knowledge of Google Ads, Meta Ads, LinkedIn Campaign Manager, and Tag Manager.
  
• Experience with GA4, BigQuery, SQL, Looker Studio (or equivalent BI platforms).
  
• Proficiency in server-side tracking, GTM custom templates, data layers, and API integrations.
  
• Familiarity with Python or JavaScript for campaign automation and data manipulation.
  
• Understanding of attribution modeling (MTA, MMM), conversion funnel economics, and media mix optimization.

KPIs:

• CAC, ROAS, and LTV:CAC ratio
  
• Cross-channel attribution accuracy and conversion signal strength
  
• Lift in audience conversion from first-party data utilization
  
• Automation efficiency (manual hours reduced per campaign cycle)
  
• Incremental revenue contribution from paid channels

Preferred Tools & Stack:

• Ad Platforms:

  Google Ads, Meta Ads, LinkedIn, TikTok Ads, DV360

• Analytics:

  GA4, BigQuery, Looker Studio, Power BI

• MarTech:

  HubSpot, Salesforce, Marketo, Segment, Zapier, GTM

• Automation:

  Google Ads Scripts, Meta API, Python workflows

• Optimization:

  Hotjar, Optimizely, VWO, Microsoft Clarity

Why Join Us:

Role & responsibilities