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!
Associate Product Manager, Hive Models Role
As an Associate Product Manager on our Hive Models team, you will work cross-functionally with stakeholders to help define product requirements and support implementation efforts, collaborating closely with our Machine Learning, Core Infrastructure, and Product teams. You will play an important role in the core of our business: our cloud-hosted deep learning models. You will help support Hive's growth by contributing to our innovative capabilities and building a strong foundation for future ownership within the product org.
Responsibilities
- Support the roadmap, functional requirements, and development timeline for our Hive Models, under the guidance of senior PM/leadership
- Develop an understanding of our customers' needs across various industries
- Assist in product execution from inception to delivery
- Help engineering and product teams break down projects into manageable parts, and help track progress against delivery plans
- Support our Hive Models portfolio by learning the needs of the product development teams, and contributing to the creation of our deep learning models that provide human-like interpretation of video, image, audio, and text
- Help communicate product benefits to our users and internal stakeholders
- Work with senior product and engineering stakeholders to help define new features and improve models habitually
- Help track engineering velocity and support the identification of best practices to improve delivery speed and security
- 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 some hands-on exposure to modern machine learning libraries, frameworks, and technologies (coursework, internships, or professional experience)
- 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 0-2 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 are eager to grow into a leadership role, with an interest in eventually owning team goals and deadlines
- Beyond just shipping new products, you obsess about continuous product improvement
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $90,000 - $120,000. 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.