Manager - Applied AI & GTM Systems - Confluent

IBM

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Work type: On-site
Location: Research Triangle Park, NC
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

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TL;DR · Manager - Applied AI & GTM Systems - Confluent

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We are seeking a Manager of Applied AI and GTM Systems to join our dynamic team at Confluent in Research Triangle Park, NC. This senior-level position involves leading the development and deployment of cutting-edge AI solutions that enhance our global technology market (GTM) systems. Day-to-day responsibilities include collaborating with cross-functional teams to integrate machine learning models, optimizing data pipelines, and ensuring scalable AI-driven insights for business growth. The ideal candidate will have expertise in Python, TensorFlow, and cloud platforms like AWS or Azure, along with a strong background in data science and software engineering. This role requires deep knowledge of AI applications in enterprise environments, particularly in areas such as predictive analytics and automated decision-making systems.

Skills

Python Java Kafka Confluent AI ML CI/CD AWS Azure GCP Docker Kubernetes Git Jira Scrum

What you'll do

Lead the development and deployment of advanced AI solutions for GTM systems.
Design and implement machine learning models to optimize business operations efficiency.
Collaborate with cross-functional teams to integrate AI technologies into existing platforms.
Conduct research on emerging AI trends and their potential impact on company products.
Mentor junior data scientists and engineers in AI best practices and methodologies.

What we're looking for

Minimum 5 years of experience in applied artificial intelligence and machine learning.
Proven track record in developing and deploying GTM systems in enterprise environments.
Strong background in data science, including predictive analytics and statistical modeling.
Experience with cloud platforms like AWS or Azure for AI solutions implementation.
Excellent communication skills to collaborate effectively with cross-functional teams.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Certified machine learning specialist or equivalent professional certification preferred.

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