Job Details

Product Manager (AI/ML Solutions)

Advertiser
TigerGraph
Location
Redwood City, California, United States
Rate
-
Product Manager (AI/ML Solutions)

This is an individual contributor role and the successful candidate serves as the product owner for new AI/ Machine Learning tools and services in support of overall Graph Analytics solutions.

As the Product Manager for AI & Machine Learning Solutions, you are a core member of the TigerGraph Product Management team, helping to define, develop, and deliver state-of-the-art enterprise machine learning tools and services to make it easy for AI practitioners to use Graph in their day-to-day operations. The ideal candidate is a self-starter and can operate in a fast-paced, innovative environment. Successful candidates will have hands-on experience with machine learning frameworks and techniques, such TensorFlow and PyTorch, and be fluent in the infrastructure and processes required to develop and operate machine learning models at scale.

Your Responsibilities:

* Champion the cause of how Graph and AI can truly help deliver better business outcomes for customers with industry- and use case-specific reference solutions and starter kits.
* Research and collect requirements to enhance the TigerGraph database platform to integrate with AI/ML frameworks and ecosystem seamlessly.
* Own the roadmap to build and refine Graph Algorithms, ML, and data science libraries to work out of the box as a product deliverable.
* Work with customers, sales, partners, and market input for new and emerging industry use cases and validate implementation.
* Support product marketing to develop product positioning and collateral. Provide technical guidance to customer teams using TigerGraph + ML capabilities.

Requirements:

* 3+ years of technical product management and data science experience, with project experience in machine learning and enterprise software.
* Bachelor of Science in Computer Science, Engineering, Statistics, or similar field. Master of Science or Business Administration degrees preferred.
* Deep understanding of ML pipelines and solution lifecycle. Experience with a major cloud platform (AWS, Google Cloud, Azure) preferred.
* Sound understanding of machine learning techniques, such as logistic regression, nave Bayesian, SVM, decision trees, and random forests, and their applications to real world use cases.
* Excellent verbal and written communication and presentation skills.

(Remote)

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