The goal of a Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. In doing so, they manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements.
In this role, you will lead the vision, strategy, and execution of a GPU-accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale — while supporting the growth of the P2P AI ecosystem.
We’re seeking an experienced Technical Product Manager with a strong bias for action and measurable outcomes — someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals.
This is a great opportunity for an experienced product leader: with a strong product-led growth mindset who wants to take their career to the next level, and move from contributing to a product area to having full ownership over the building, scaling and success of an entire new product and service lines with experience in the field of AI / ML that goes beyond consumer level and into the core of how modern AI systems behave who understands the intricacies of software and hardware to the extent that he/she can actively engage with highly-technical stakeholders a team leader who has had close contact with operations and feels capable to work with people in all facets of a product a high-agency individual who can actively set internal and external goals, team culture and liaise effectively and directly with executive management and other departments to achieve them.
Requirements
7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include: Building or managing AI platform services involving model training, fine-tuning, inference optimization and quantization workflows Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models) Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings Familiarity with AI-specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques Past experience in high-growth organizations Proven track-record of successful product launches Exceptional leadership, communication, prioritization and team-building skills Ability to engage and evangelize a product vision to both highly-technical and non-technical stakeholders alike
Degree in engineering, physical sciences or closely related fields Skilled in defining, tracking, and reporting on product KPIs to measure success.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
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