Own data-driven marketing tech stack integration and activation, creating unified customer profiles and orchestrating AI-powered personalization across CDP, CRM, and marketing automation to improve attribution and campaign outcomes.

CDP & Data Architecture: design and maintain data pipelines linking first/second/third-party data and enable cross-channel activation.
Systems & Integrations: build identity resolution, bi-directional Salesforce/Marketo data flows, and scalable ETL/ELT in cloud platforms.
AI & Analytics: develop ML/LLM workflows for segmentation, scoring, churn, and content personalization, with governance and self-serve analytics for marketing teams.

Job Description

Responsibilities

CDP Implementation & Marketing Data Architecture: Design, implement, and maintain Customer Data Platform solutions integrating first-party, second-party, and third-party data sources.
Build identity resolution pipelines and unified customer profiles across online and offline touchpoints.
Architect data flows between CDPs, CRMs (Salesforce), marketing automation (Marketo), and downstream activation platforms.
Develop and optimize ETL/ELT pipelines in GCP, Azure, and AWS using Dataflow, Composer, Azure Synapse, and AWS Data Pipelines.
Marketing AI & Machine Learning: Design and deploy AI/ML models for customer segmentation, lead scoring, churn prediction, campaign recommendation, and content personalization.
Implement LLM-powered marketing workflows including campaign brief generation, audience insights summarization, and AI content classification.
Utilize GCP Vertex AI, Azure ML, and AWS SageMaker for model training, evaluation, and production deployment.
Apply Python and data science libraries (Pandas, NumPy, Scikit-learn, LangChain) for feature engineering and ML model development.
Salesforce & Marketo Data Engineering: Develop and maintain bi-directional integrations between Salesforce (Sales Cloud, Marketing Cloud, Data Cloud) and enterprise data platforms.
Build Marketo data connectors for lead lifecycle management, program performance tracking, and marketing attribution.

Requirements

3+ years of marketing domain experience
Proven hands-on CDP implementation experience (Segment, Tealium, ActionIQ, Adobe Real-Time CDP, or similar enterprise platforms)
Direct experience with Salesforce Marketing Cloud, Salesforce Data Cloud, or Salesforce CRM data models
Hands-on Marketo experience including data ingestion, program attribution, lead scoring, and API integration
Strong understanding of marketing attribution models (multi-touch, data-driven, media mix modeling) and consumer journey analytics
Cloud Expertise: GCP or AWS certification (Data Engineering or ML focus required); multi-cloud experience preferred
Programming: Strong Python proficiency; experience with data science libraries and LLM/AI frameworks (LangChain, OpenAI APIs, Vertex AI)
Database Management: Advanced SQL across BigQuery, Teradata, Snowflake, and NoSQL databases (Cassandra, DynamoDB)
ML/AI: Working experience with ML workflows — model training, evaluation, deployment — across GCP/Azure/AWS services
Marketing Tech Stack: Experience integrating with CDPs, CRMs, marketing automation platforms, and ad tech ecosystems (DSPs, Google Ads, Meta Ads APIs)
Data Visualization: Hands-on Google Looker and Tableau for marketing performance reporting

Nice to Have

Experience with Salesforce Data Cloud or Marketing Cloud Intelligence (formerly Datorama)
Familiarity with ABM platforms (Demandbase, 6sense) and their data integration patterns
Experience with Adobe Experience Platform (AEP) or other enterprise CDP/DMP environments
Knowledge of Apache Spark, Airflow, or dbt for data orchestration and transformation
Understanding of privacy-first data strategies including consent management, identity graphs, and cookie-less attribution
Experience with Alteryx for marketing workflow automation and data preparation
Exposure to data warehousing solutions (Snowflake, Redshift) in a marketing analytics context
Strong understanding of data governance, security, and compliance as applied to marketing data (GDPR, CCPA)

Benefits

Low-cost, high-quality health care options
Collaborative and motivated coworkers who see career development and personal development as intertwined
Opportunities for career development and personal development

Mod Op

4.0 Glassdoor

We are a leading insights-driven marketing agency that merges artificial intelligence, data science and human creativity to deliver efficient, effective and sustainable growth for our clients. With locations in New York, Dallas, Los Angeles, Miami, Minneapolis, Kansas City, Portland, Cleveland, Philadelphia, Toronto, Canada, and Panama City, Panama, Mod Op pairs data and innovation with expertise to best serve clients.

Founded in 2017

Miami, Florida, USA

231 employees (72 in marketing)

www.modop.com

80% recommend to a friend

60% CEO approval

Traffic Signals

Monthly Visitors

11.8K

Traffic Source Mix

33.3%

Direct

42.9%

Referral

14.8%

Social

7.5%

Paid

1.2%

Headcount Trend

Current headcount: ~233

Marketing Team

Marketing Team Size

50 (22% of company)

Funding

Total Funding

$10.4M

Last Raise

$10.4M

Series Unknown, 4 years ago

Funding History

Feb 2022
Series Unknown • $10.4M

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Funding History

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Top 1% of applicants do these two things.

Job Summary

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Requirements

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Benefits

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Traffic Signals

Headcount Trend

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Funding

Funding History

Recent News