SME – Marketing Performance Measurement & Optimization

$60.00 per hour

As the primary technical authority for this specialization, you will ensure the curriculum accurately represents how marketers connect business goals to measurable outcomes, design valid experiments, interpret incrementality, and apply insights to campaign optimization.

Your day-to-day responsibilities will be structured around three continuous review checkpoints per course:

• Checkpoint 1: Program Outline Review Review source webinars and supporting documents to evaluate generated outlines for logical flow, structural completeness, and sequencing. Attend live alignment calls with the Coursera and Learning Design teams to validate content at the structural level.
• Review source webinars and supporting documents to evaluate generated outlines for logical flow, structural completeness, and sequencing.
• Attend live alignment calls with the Coursera and Learning Design teams to validate content at the structural level.
• Checkpoint 2: Full Course Atlas (Script) Review Conduct a deep-dive review of a Proof-of-Concept (POC) course to establish the standard for tone, depth, accuracy, and structure. Review remaining course atlases (.doc format via Google Drive) to ensure they mirror the POC standards and flag course-specific errors.
• Conduct a deep-dive review of a Proof-of-Concept (POC) course to establish the standard for tone, depth, accuracy, and structure.
• Review remaining course atlases (.doc format via Google Drive) to ensure they mirror the POC standards and flag course-specific errors.
• Checkpoint 3: On-Platform Final Review Access the live Coursera staging environment to end-to-end test all interactive components, dialogues, and logic triggers. Validate final uploads against source webinars for absolute factual accuracy, brand alignment, and completeness.
• Access the live Coursera staging environment to end-to-end test all interactive components, dialogues, and logic triggers.
• Validate final uploads against source webinars for absolute factual accuracy, brand alignment, and completeness.
• Continuous Quality Assurance & Content Creation Source-Fidelity Checking: Scrutinize all elements to ensure absolutely zero hallucinated or drifted Meta product claims. Experimentation Workflows: Verify that setup steps for Meta Experiments (A/B testing, split tests) and lift studies reflect the current live UI. Copywriting: Draft and refine XDP copy for product accuracy; review Donobu QA reports as required. Screencasting: Record high-quality technical screencasts following provided audio/room setup guidelines if needed to complement written text.
• Source-Fidelity Checking: Scrutinize all elements to ensure absolutely zero hallucinated or drifted Meta product claims.
• Experimentation Workflows: Verify that setup steps for Meta Experiments (A/B testing, split tests) and lift studies reflect the current live UI.
• Copywriting: Draft and refine XDP copy for product accuracy; review Donobu QA reports as required.
• Screencasting: Record high-quality technical screencasts following provided audio/room setup guidelines if needed to complement written text.

• Measurement & Analytics Specialist: Current, hands-on experience designing, running, interpreting, or advising on marketing measurement studies and testing programs.
• Seniority: Mid-to-senior level practitioner (5+ years of dedicated experience in marketing measurement, analytics, performance marketing, experimentation, or marketing science).
• Industry Context: Background working in agencies, in-house analytics, e-commerce, CPG, retail, brand marketing, or platform-partner environments where proving incrementality is critical.
• Meta Platform Mastery: Direct, current experience with Meta Ads Manager, Experiments tools, A/B Testing, Conversion Lift, Brand Lift, and Search Lift concepts.

• Live Active Access to: Meta Ads Manager, Meta Experiments / A/B Testing tools, Meta reporting dashboards, and Business Manager.
• Instructional Awareness: Ability to evaluate if content is properly scoped for an entry-to-mid career marketing manager or analyst audience (ensuring actionable practitioner guidance rather than highly academic statistical jargon).

• The fundamental distinction between observational and experimental methodologies (causal inference).
• Hypothesis development, target variable selection, and experiment setup workflows.
• Interpretation of test outputs (incrementality, attribution validation, lift signals) to guide budget allocation and optimization decisions.

• Holding an active Meta Certified Marketing Science Professional or Meta Certified Media Buying Professional credential.
• Hands-on or live environment familiarity with Conversion Lift, Brand Lift, and Search Lift study setups.
• Familiarity with broader analytics ecosystem platforms such as GA4, business intelligence dashboards, or data visualization tools.
• Prior experience working within the Meta Blueprint or Meta partner ecosystem.
• Familiarity working with Google Drive (.doc) editing workflows and Airtable/Donobu QA feedback tracking.

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Call to Action: Submit Your Resume!

Team chemistry is everything to us, so our ultimate goal is to find the right fit.

If the above describes your interests and experience, and you believe this will be a dream job, please submit your resume.

We are excited to hear from you!

Please note: We're all about remote work and have collaborators based all around the world; however, SweetRush is a US-based company, and English is our primary language.

If you'd like to be considered for this opportunity, please submit your resume in English.

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