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AI Solutions Manager at Arize AI | San Francisco

Arize AISan Francisco, CA
On-site Full-time $135K/yr - $175K/yr

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Experience Level

Manager

Qualifications

The ideal candidate will possess strong communication skills, a solid understanding of AI/ML technologies, and a passion for helping customers achieve their goals. Experience in customer-facing roles and a proactive approach to identifying opportunities for growth are essential. A Bachelor's degree in a related field is preferred.

About the job

About Arize AI

At Arize AI, we are at the forefront of the AI revolution, transforming industries with our state-of-the-art observability and evaluation platform. Our mission is to empower AI engineers to deploy high-performing and reliable applications. With over $135 million in funding and a roster of more than 150 leading enterprises and Fortune 500 companies, including Booking.com, Uber, Siemens, and PepsiCo, we are dedicated to delivering AI solutions that work effectively in the real world.

The Opportunity

As an AI Solutions Manager, you will collaborate with some of the most innovative AI/ML teams globally. You will play a critical role in driving product adoption, shaping impactful use cases, and ensuring our customers harness AI to generate tangible outcomes. This role presents an exceptional opportunity to grow with a leading AI firm and gain in-depth knowledge of advanced AI/ML applications.

The Team

Our engineering team comprises industry veterans skilled in developing deep learning infrastructure, autonomous systems, and various complex software solutions. Your contributions as an AI Solutions Manager will directly impact our customers' success in deploying effective AI solutions to achieve measurable business results. We seek a dynamic, client-centric individual with an entrepreneurial spirit to foster and expand our customer relationships.

About Arize AI

Arize AI is a Series C tech company specializing in AI observability and evaluation. We provide a comprehensive platform to support AI engineers in developing robust and effective AI systems, ensuring they can deliver results at scale.

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