Product Manager, AutoML

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.

About the Role

As a Product Manager for AutoML, you will be an essential part of the Deploy team, working effectively across all disciplines to build, launch, and iterate features for our AutoML platform. Deploy's AutoML platform allows our customers to easily train, evaluate, and deploy customized machine learning models. Beginning with their own data, Deploy's AutoML platform guides our customers through the process of creating a fully-functional model accessible via an API endpoint just like Deploy pre-trained models.

In this role, you will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.

Own the roadmap, functional requirements, and development timeline for Deploy's AutoML platform Develop a clear product vision and roadmap, mock up concepts, write specs and oversee execution from inception to completion Work with the executive team to determine top priorities, help define new features, and improve our AutoML platform habitually Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles Analyze customer data and feedback to identify opportunities for feature enhancements Help engineering and product teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans Clearly communicate product benefits to our customers and internal stakeholders 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

You have a Bachelor's Degree in Computer Science, Engineering, or similar field You have 2+ years of Product Management experience and a track record of building web products, preferably in a startup or fast-paced environment You have technical experience with any of the following: data, analytics, design or engineering You have experience working with engineering, design, and customers in enterprise software or related technical fields You have technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike You have excellent verbal and written communication and presentation skills You have experience leading a team, and effectively implementing team goals and deadlines You are comfortable with — and can thrive in — an environment that is fast paced in a competitive industry You are detail-oriented, organized, collaborative, and hands-on Beyond just shipping new products, you obsess about continuous product improvement