Product Manager, Deploy Models

About Deploy

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 throughout. 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

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.

Responsibilities

• 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

Who We Are

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.

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

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.