Lead marketing strategy, manage metrics, oversee budget and execution with contractors, while working with various stakeholders to drive marketing efforts.

The Senior Program Manager will coordinate between enterprise partners and internal teams, manage support requests, communicate technical issues clearly, and drive program excellence through stakeholder management.

Lead day-to-day management for AI projects, ensuring alignment of milestones, facilitate Agile ceremonies, communicate across teams, and optimize workflows.

The role involves developing B2B marketing solutions for community financial institutions, conducting market research, creating go-to-market strategies, and enabling internal sales teams with the necessary tools for adoption.

The Lifecycle Marketing Product Planner will manage lifecycle communications, collaborate across teams, and optimize marketing strategies for a financial services client.

Design, develop, and deploy AI solutions, implement RAG techniques, use advanced prompt engineering, and collaborate across teams for scalable AI applications.

Design and deploy scalable AI solutions using technologies like Retrieval-Augmented Generation. Collaborate across teams to align AI systems with development goals.

The AI Engineer will design, develop, and deploy scalable AI solutions, focusing on RAG, MLOps workflows, and collaboration with engineering teams.

The Lead BI Engineer (GenAI) will develop, optimize and integrate BI solutions using advanced Power BI, SQL, and AI technologies to deliver insightful analytics for business decision-making.

Lead and manage cross-functional technical projects, aligning with business objectives, ensuring delivery, and facilitating communication among stakeholders while identifying process improvements.

Design and implement data architectures for analytics, build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for business decisions.

As a Data Engineer, you will design and implement data architecture, optimize data pipelines, and ensure reliable data flows for analytics and reporting.

Design and implement data architecture for analytics, build and optimize data pipelines, and manage data storage and processing for enterprise clients.

Design and implement enterprise-grade AI/ML solutions on Azure. Architect end-to-end AI systems, mentor teams, and optimize AI performance.

Develop and deploy AI solutions involving Retrieval-Augmented Generation, MLOps, and advanced prompt engineering for scalable applications.

Manage end-to-end technical recruiting for AI and software roles across LATAM, ensuring clear communication with U.S. hiring managers and supporting team growth in the Mexican market.

This role involves managing SFMC data operations, optimizing marketing campaigns through advanced SQL, supporting reporting frameworks, ensuring compliance, and continuous process improvement.

The AI Engineering Manager will lead the design and implementation of enterprise-grade AI solutions, leveraging Azure services and ensuring best practices in architecture, data governance, and MLOps. Responsibilities include collaborating with teams to translate business needs into AI solutions and mentoring engineering teams.

Blend seeks Data Science Professionals for various roles including MLOps, Analytics, and Generative AI, focusing on model design and deployment. Experience from junior to expert levels welcome.

The AEM Process Engineer will analyze workflows, implement automation solutions, and streamline processes for digital marketing campaigns.