Product Manager, AutoML
Hive · On-site
MeritLog read this listing from Hive's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Seattle
Job description
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.
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