Bachelor's degree in Computer Science, Engineering, or a related field.
Hands-on experience with modern machine learning libraries and frameworks.
Strong verbal and written communication skills.
Proficiency in functional programming languages like Python or Node.JS.
0-2 years of experience in Machine Learning and Product Management.
Detail-oriented and organized with a collaborative mindset.
Eager to grow into a leadership role and focus on continuous product improvement.
Responsibilities
Support the roadmap and development timeline for Deploy Models under senior guidance.
Understand customer needs across various industries.
Assist in product execution from inception to delivery.
Help break down projects into manageable parts and track progress.
Contribute to the creation of deep learning models for interpreting multimedia content.
Communicate product benefits to users and stakeholders.
Collaborate with senior stakeholders to define new features and improve models.
Benefits
Opportunity to work with cutting-edge deep learning technologies.
Cross-functional collaboration with diverse teams.
Potential for career growth into leadership roles.
Engagement in continuous product improvement initiatives.
Exposure to industry best practices in data handling.
Full Job Description
Associate Product Manager, Deploy Models Role
As an Associate Product Manager on our Deploy 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 Deploy'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 Deploy 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 Deploy 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
Thank you for your interest in Deploy 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.
About Hive
Hive is a project management and collaboration platform that helps teams work together more efficiently. The company was founded in 2015 and is headquartered in New York, New York. Hive's platform includes features such as task management, time tracking, and team collaboration tools. The company serves clients in a variety of industries, including technology, healthcare, and finance. Hive is committed to providing a user-friendly and customizable platform that helps teams stay organized and productive.
