SME – Marketing Performance Measurement & Optimization

SweetRush•,

7d•Remote

About The Position

SweetRush has an exciting opportunity for a talented professional to join our Learning Design team! We are seeking a mid-to-senior level Measurement, Marketing Science, or Experimentation Practitioner to serve as a Subject Matter Expert (SME) for an upcoming curriculum development project. In this freelance role, you will lead the rigorous quality, accuracy, and fidelity review of a four-course Coursera specialization titled Marketing Performance Measurement & Optimization. The course content is adapted from existing Meta webinars covering metric selection, observational vs. experimental methodologies, A/B testing, Conversion Lift, and Search Lift. This is an active editing and validation role where you will review, refine, correct, and augment AI-drafted course content generated by Coursera's tools to ensure absolute platform currency, statistical soundness, and learner engagement.

Requirements

Current, hands-on experience designing, running, interpreting, or advising on marketing measurement studies and testing programs.
Mid-to-senior level practitioner (5+ years of dedicated experience in marketing measurement, analytics, performance marketing, experimentation, or marketing science).
Background working in agencies, in-house analytics, e-commerce, CPG, retail, brand marketing, or platform-partner environments where proving incrementality is critical.
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.
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.
Technically savvy, have a strong internet connection, be comfortable with virtual collaboration tools (Google Drive, Slack, Airtable), and be available for scheduled live alignment syncs.
Resume in English.

Nice To Haves

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.

Responsibilities

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.
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.
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.
Scrutinize all elements to ensure absolutely zero hallucinated or drifted Meta product claims.
Verify that setup steps for Meta Experiments (A/B testing, split tests) and lift studies reflect the current live UI.
Draft and refine XDP copy for product accuracy; review Donobu QA reports as required.
Record high-quality technical screencasts following provided audio/room setup guidelines if needed to complement written text.