Manager - Applied AI & GTM Systems - Confluent

IBM

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Work type: On-site
Location: Brookhaven, GA
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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The Manager of Applied AI and GTM Systems role at Confluent in Brookhaven, Georgia is a senior-level position within the company’s data engineering team. This individual will oversee the development and deployment of advanced AI solutions to enhance customer-facing systems, focusing on improving user experience through innovative technology integration. Daily responsibilities include collaborating with cross-functional teams to identify business needs, designing scalable machine learning models, and implementing cutting-edge AI tools such as TensorFlow and PyTorch. The ideal candidate possesses expertise in Python, Java, and SQL, along with a strong background in data science and artificial intelligence. This role addresses the growing demand for intelligent automation within Confluent’s expanding product suite, aiming to solve complex business challenges through technological innovation.

Skills

Python Java Kafka Confluent Platform AWS Azure GCP Docker Kubernetes CI/CD Git Jenkins PostgreSQL MongoDB Redis GraphQL RESTful APIs Microservices

What you'll do

Lead the development and deployment of advanced AI solutions for GTM systems.
Oversee the integration of machine learning models into existing Confluent platforms.
Optimize data pipelines to enhance efficiency and scalability in AI applications.
Mentor junior engineers in applied AI techniques and best practices.
Collaborate with cross-functional teams to identify new AI-driven business opportunities.

What we're looking for

Minimum 5 years of experience in applied artificial intelligence and GTM systems.
Proven track record in developing and implementing machine learning solutions.
Strong background in data science and analytics for business applications.
Excellent leadership skills with a history of managing cross-functional teams.
Experience in cloud-based AI platforms such as AWS, Azure, or Google Cloud.
Deep understanding of AI ethics and privacy regulations in data handling.

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