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Mod Op is a marketing agency built around a data + AI stack spanning AWS, GCP, Azure, BigQuery, Snowflake, and Vertex AI, with active projects in AI agent ecosystems, agentic media execution, and compliance automation. The hiring mix—heavy on security (4 roles) and engineering (5), with product and data teams—reflects a shift from traditional creative services toward platform-based, AI-driven execution. Current pain points center on scaling AI safely (cost/performance trade-offs, data privacy, security gaps), suggesting the agency is moving beyond outsourcing into building proprietary infrastructure.
Tech Stack 25 technologies
Core StackAWS BigQuery Cassandra Vertex AI Python Pandas NumPy scikit-learn Looker Tableau Snowflake RAG Azure AD GCP Azure Composer Azure Synapse Teradata Alteryx Cloud Scheduler IAM Cloud Logging
AdoptingVanta Drata Secureframe
What Mod Op Is Building
◆Challenges
- Ensuring data privacy and compliance
- Automating complex workflows
- Identifying misconfigurations and redundant permissions
- Security gaps
- Balancing cost and performance of ai models
- Inefficient data workflows
- Optimizing media execution
- Scalable secure solutions
- Preventing unauthorized access incidents
- Scaling ai solutions
▲Active Projects
- Evaluation criteria for ai outputs
- Ai agent ecosystems
- Ai system architecture design
- Compliance automation platform implementation
- Agent lakes
- Ai-enabled marketing platform
- Agentic media execution system
- Performance analytics dashboard
- Go-to-market strategy
- Ai solutions for marketing across industries
Hiring Activity
15 roles · 4 in 30d
Department
Seniority
Company intelligence
