Product Manager, Deploy Models

About Deploy

About Hive

Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection.

Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Product Manager, Deploy Models Role

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, 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.

Responsibilities

• Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models.
• For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput.
• As a Product Manager on our Deploy 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 Deploy's growth; you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities.
• Own the roadmap, functional requirements, and development timeline for our Deploy 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 Deploy 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

Pay

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.

Benefits

• Thank you for your interest in Deploy and we hope to meet you soon!