Skip to content
NEXTMOVEFDE careers · United States

Product Manager, AutoML

AI summary of the role

Product Manager for Hive's AutoML platform, which lets customers train, evaluate, and deploy custom ML models via API.

What you’ll do

  • Own roadmap, functional requirements, and development timeline for AutoML platform
  • Develop product vision, mock up concepts, write specs, oversee execution
  • Align teams, remove blockers, balance business needs vs technical constraints
  • Analyze customer data and feedback to drive feature enhancements

What you’ll bring

  • Bachelor's in CS, Engineering, or similar
  • 2+ years Product Management experience building web products
  • Technical experience in data, analytics, design, or engineering
  • Experience with engineering, design, and customers in enterprise software

Technologies

AutoML · API · machine learning · data · analytics · software engineering · agile

About Hive

Cloud AI APIs and workflow tools for moderating content, detecting deepfakes, protecting IP, and measuring media exposure at enterprise scale.

Series D

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the 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 acc [... source excerpt omitted ...] ams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects. Responsibilities Own the roadmap, functional requirements, and development timeline for Hive’s AutoML platform Develop a clear product vision and roadmap, mock up concepts, write specs and oversee execution from inception to completion Work with the executive team to determine top priorities, help define new features, and improve our AutoML platform habitually Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throu [... source excerpt omitted ...] roduct teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans Clearly communicate product benefits to our customers and internal stakeholders Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered Maintain awareness of industry best practices for data maintenance handling as it relates to your role Adhere to policies, guidelines and procedures pertaining to the protection of information assets Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements You have

How jobs are selected

Employer postings · Data from · Sources