Remote | Performance Marketing Manager — $50–$90/hour

24-Mag•New York, NY

3d•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for experienced performance marketing professionals with hands-on expertise in paid acquisition, campaign optimisation, budget allocation, funnel analysis, lead generation, and digital advertising performance. This role focuses on designing and evaluating realistic paid marketing environments that reflect the tools, data, workflows, and judgement calls encountered in professional growth and acquisition teams. Selected experts will create authentic scenarios, define expected outcomes, review completed work, and establish standards that distinguish strong performance marketing judgement from plausible but ineffective approaches.

Requirements

Hands-on professional experience in paid acquisition, performance marketing, or growth marketing
Experience personally owning advertising budgets and performance results, rather than solely managing teams responsible for execution
Strong understanding of paid media strategy, campaign optimisation, budget allocation, funnel analysis, and conversion performance
Fluent with Google Ads
Fluent with Meta Ads
Strong working knowledge of Google Analytics 4
Comfortable diagnosing performance across acquisition, web, and downstream conversion data
Strong quantitative and commercial judgement when evaluating campaign decisions
Clear written reasoning and ability to explain why a performance marketing decision is effective or ineffective
Comfortable working independently with structured evaluation frameworks and project guidelines

Nice To Haves

Prior experience developing AI training environments, reinforcement-learning environments, or simulated business case studies is strongly preferred
Rubric Academy or Rubric Bootcamp certification is strongly preferred

Responsibilities

Develop realistic tasks based on paid acquisition work you have personally performed
Define the underlying performance issue and the decision a strong practitioner should reach
Create scenarios involving incomplete, conflicting, or messy campaign and funnel data
Ensure tasks require genuine professional judgement rather than simple information retrieval
Design challenges that reflect real-world performance marketing workflows
Develop and evaluate scenarios involving paid customer acquisition
Assess channel strategy, campaign structure, targeting, bidding, and optimisation decisions
Review acquisition performance against commercial objectives
Identify weak assumptions, inefficient approaches, or missed opportunities
Apply hands-on judgement grounded in personally managing paid media programmes
Analyse campaign performance across advertising platforms
Identify drivers of changes in spend, traffic, conversion, and acquisition efficiency
Distinguish meaningful performance issues from normal variation
Evaluate proposed corrective actions and optimisation priorities
Assess whether conclusions are adequately supported by available campaign data
Review budget allocation across campaigns, audiences, channels, or objectives
Evaluate trade-offs between growth, efficiency, scale, and marginal performance
Assess whether spend should be increased, reduced, or redistributed
Identify inefficient budget allocation or unsupported investment decisions
Evaluate recommendations using practical performance marketing judgement
Develop and evaluate scenarios involving conversion funnels and downstream pipeline performance
Diagnose where acquisition performance is weakening across the customer journey
Review lead quality, conversion rates, handoffs, and downstream outcomes
Identify gaps between advertising performance and actual business results
Evaluate recovery strategies based on available funnel and pipeline evidence
Review scenarios involving underperforming lead generation or pipeline segments
Assess recovery strategies for stalled or low-performing acquisition programmes
Evaluate account-based marketing decisions where relevant
Review targeting, prioritisation, and resource-allocation choices
Identify recommendations that do not align with available commercial data
Evaluate landing pages, website journeys, and conversion paths supporting paid acquisition
Review customer movement from ad engagement through web and pricing experiences
Identify friction points or weaknesses affecting conversion
Assess proposed experiments or journey improvements
Evaluate whether recommendations appropriately connect advertising and on-site performance
Work with workflows modelled on Google Ads, Meta Ads, and Google Analytics 4
Review campaign, audience, conversion, and behavioural data
Reconcile advertising-platform reporting with web analytics
Identify discrepancies, attribution issues, or misleading interpretations
Evaluate whether campaign decisions appropriately reflect available performance data
Work with simulated environments containing realistic email, storage, CRM, project management, social media management, web analytics, SEO/AEO, advertising, CMS, product analytics, and customer-support information
Specify the documents, dashboards, personas, and tool states required for authentic performance marketing scenarios
Evaluate multi-step workflows spanning several marketing systems
Identify missed dependencies, inconsistent data, or execution failures
Assess whether proposed actions appropriately reflect information from multiple sources
Write or review reference solutions for paid growth and performance marketing scenarios
Define clear criteria separating strong professional responses from plausible but incorrect ones
Establish standards for diagnosis, prioritisation, budget allocation, optimisation, and execution
Explain why particular marketing decisions are stronger or weaker
Ensure evaluation criteria reflect realistic performance marketing practice
Review completed scenarios and evaluate proposed performance marketing decisions
Assess diagnostic reasoning, prioritisation, trade-offs, planning, execution, QA, and reporting
Evaluate work spanning multiple advertising, analytics, and marketing systems
Identify missed issues, incorrect interpretations, or weak recommendations
Provide clear written reasoning supporting evaluation decisions