Product Manager, Hive Models

Product Manager, Hive Models

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!

Product Manager, Hive Models Role

As a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams. You will play a crucial role in the core of our business : our cloud-hosted deep learning models. You are both the foundation and the catalyst for Hive's growth; you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities.

Responsibilities

Own the roadmap, functional requirements, and development timeline for our Hive Models

Gain deep understanding of our customers' needs across various industries

Oversee product execution from inception to delivery

Help engineering and product teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans

Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text

Clearly communicate product benefits to our users and internal stakeholders

Work with the executive team to determine top priorities, help define new features, and improve models habitually

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 a Bachelor of Science in Computer Science, Engineering, or similar field

You have hands-on experience with modern machine learning libraries, frameworks, and technologies

You have excellent verbal and written communication and presentation skills

You have a working knowledge of functional programming languages such as Python or Node.JS

You have 2-3 years of combined Machine Learning and Product Management experience

You are comfortable with and can thrive in an environment that is constantly changing, frequently uncertain, and at times chaotic

You are detail-oriented, organized, collaborative, and hands-on

You have experience leading a team, and effectively implementing team goals and deadlines

Beyond just shipping new products, you obsess about continuous product improvement

The current expected base salary for this position ranges from $120,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.