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Hive

Product Manager, AutoML

Seattle

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hirly's read of this role

Role family
Product management
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
2 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI.

About the Role

As a Product Manager for AutoML, you will be an essential part of the Hive team, working effectively across all disciplines to build, launch, and iterate features for our AutoML platform. Hive’s AutoML platform allows our customers to easily train, evaluate, and deploy customized machine learning models. Beginning with their own data, Hive’s AutoML platform guides our customers through the process of creating a fully-functional model accessible via an API endpoint just like Hive pre-trained models.

In this role, you will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.

Original posting on Hive's site ↗

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