The Challenge
Adobe's Global Marketing Organization needs someone to build production-grade Marketing Mix Models that drive billions in quarterly budget decisions. You'll measure marketing's true incremental impact across geographies and product lines, turning complex causal inference into actionable insights for executives.
Your Mission
Audit existing MMM infrastructure and identify gaps in geographic coverage and product group support
Deploy refreshed baseline MMM models to production serving Q1 budget planning cycle
Establish model monitoring and validation framework to track prediction accuracy month-over-month
Document causal inference methodology and create stakeholder communication templates for model outputs
Expand MMM coverage to 3+ new geographic markets or product segments with validated models
Integrate experimental/causal inference methods into baseline modeling pipeline for incrementality validation
Reduce model refresh cycle time by 30% through automation and cloud infrastructure optimization
Present model-driven budget allocation recommendations that shift $10M+ in spend based on ROI insights
KPIs You'll Own
Model MAPE (Mean Absolute Percentage Error)
Track prediction accuracy of MMM across all active models, targeting <15% error on holdout validation sets.
Budget Recommendation Adoption Rate
Percentage of model-driven budget reallocation recommendations accepted and implemented by marketing leadership.
Model Refresh Frequency
Number of production model updates per quarter, measuring ability to incorporate new data and maintain accuracy.
Incremental Marketing ROI Measured
Dollar value of marketing spend where incremental impact is quantified through MMM, driving accountability.
Tools & Stack
Your Team
Your Manager
Global Marketing Organization leadership (GMI - Growth Marketing & Insights)
Current Team
Cross-functional: analytics, marketing execution, engineering teams
New role to strengthen MMM capability
The Package
Salary
$180K-$240K base
Remote
On-site in San Francisco, CA
Benefits & Perks
Company Intelligence
Adobe powers creative and marketing platforms used by millions globally—Creative Cloud, Experience Platform, GenStudio. With 30,000+ employees, Adobe is investing heavily in AI-driven marketing measurement and insights to help customers understand true marketing ROI.
Team Size
30000
Funding
Public (NASDAQ: ADBE)
Customers
Enterprises, creative professionals, marketers globally
Culture
Empowerment-driven, innovation-focused, cross-functional collaboration
Is This Role For You?
- You've built and deployed 3+ production MMM or marketing science models at scale
- You're fluent in causal inference and experimentation methodology—not just predictive ML
- You can translate Bayesian hierarchical models into executive-friendly narratives that drive real budget decisions
- You thrive in ambiguity and love connecting messy business problems to rigorous statistical solutions
- You're purely a model builder who doesn't care about operationalization and production stability
- You lack 3+ years hands-on experience shipping MMM solutions (academic papers don't count here)
- You need flexibility—this is hard on-site requirement in San Francisco
- You prefer solo technical work over stakeholder collaboration and communication
Interview Process
Recruiter Screen
Alignment on MMM background, Python/R proficiency, and production deployment experience
Technical Screening
Deep dive on past MMM project: model architecture, data challenges, validation approach, business impact
Case Study/Take-home
Build or improve a simplified MMM model given anonymized Adobe-like marketing data
Leadership/Cross-functional Panel
Meet Analytics, Marketing Execution, and Engineering stakeholders; discuss collaboration model and communication strategy
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.