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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Accelerated Computing Portfolio Lead - AI & HPC Services - **Company:** Max Technologies, LLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $49,920.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Cloud Computing, Nvidia CUDA, Distributed Systems, Cloud Services, AI Infrastructure, Graphics Processing Unit (GPU), High Performance Computing, Information Technology, Data Analytics, Hardware Infrastructure - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us0302fa924082e208618e9a073a781f8c ## About the Role * 12+ years of relevant experience in Product Management, Technology, Engineering, or a closely related field. * Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. * Strong technical understanding of GPU architectures, CUDA, and accelerated computing platforms. * Experience with GPU resource management and cluster orchestration for AI and high-performance computing workloads. * Knowledge of cloud networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments. * Experience developing technical and business models for GPU or cloud products, including pricing, profitability, and TCO analysis. * Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure. * Proven ability to collaborate with highly technical engineering and data science teams. * Strong product strategy, stakeholder management, and communication skills. * Ability to balance complex technical requirements with customer needs and business objectives., If you are a technical product leader with deep experience in GPUs, AI infrastructure, cloud computing, and accelerated workloads, we would like to hear from you., Message and data rates may apply. Are you looking to reach your full potential? Do you enjoy meeting new people and working in a team environment? Whether you are looking for a p… + 1 day ago, Message and data rates may apply. Are you looking to reach your full potential? Do you enjoy meeting new people and working in a team environment? Whether you are looking for a p… ## Description This role will lead the strategy, development, and lifecycle management of next-generation GPU cloud products and services supporting AI, high-performance computing, graphics, accelerated computing, and enterprise workloads. The ideal candidate combines strong product leadership with deep technical knowledge of GPU infrastructure and the ability to translate complex workload requirements into scalable cloud products and sound business decisions. What You'll Do * Define the product strategy, vision, and roadmap for GPU instances, clusters, and cloud services. * Align product requirements, positioning, and priorities with customer needs, market trends, and business objectives. * Own the full product lifecycle, from initial planning and launch through optimization and end-of-life. * Develop business cases, financial models, pricing strategies, profitability analyses, and Total Cost of Ownership models. * Develop and execute go-to-market strategies in partnership with sales, marketing, solutions engineering, and technical teams. * Collaborate with GPU technology and ecosystem partners to align product roadmaps, integrations, and technical requirements. * Translate AI, HPC, graphics, and accelerated-computing workloads into product specifications, performance requirements, and infrastructure architectures. * Guide the evolution of GPU infrastructure and support data-driven decisions regarding platform investments and lifecycle management. * Identify opportunities to improve automation, usability, monitoring, support, and operational efficiency for GPU workloads. * Build strong alignment with engineering and data science teams around product goals, technical requirements, and future platform capabilities., Strong candidates may come from environments involving: * GPU cloud products and services * AI infrastructure * High-Performance Computing * Accelerated computing platforms * Cloud infrastructure * GPU cluster orchestration * Compute platforms * Large-scale distributed infrastructure * Enterprise or hyperscale technology environments Experience taking a GPU, AI infrastructure, or accelerated-computing product from strategy and roadmap through launch and ongoing optimization will be especially valuable. What Success Looks Like The successful candidate will be able to demonstrate ownership of at least one GPU, cloud compute, AI infrastructure, or accelerated-computing product or platform. Relevant accomplishments may include: * Launching GPU instances, clusters, or cloud services * Defining GPU infrastructure roadmaps * Supporting AI or HPC workloads at scale * Improving GPU utilization or platform efficiency * Developing pricing, TCO, or profitability models * Driving customer adoption and product growth * Coordinating engineering, commercial, and technology partner roadmaps, This position is remote within the United States. Candidates must be legally authorized to work in the United States for any employer. Visa sponsorship is not available for this position, now or in the future. Relocation is not required. Interview Process The selection process is expected to include: * Technical interview with the Hiring Manager * Technical panel interviews with discipline and technical leads * Final non-technical interview with Operations Candidates should be comfortable working with distributed teams and stakeholders across multiple U.S. and international time zones. How to Apply Please submit your application through this platform with an updated resume and relevant professional information. Candidates should be prepared to provide: * LinkedIn profile * Current location * Work authorization status * Desired total compensation, including base salary and bonus or incentive expectations * Interview availability ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA](https://www.wearedevelopers.com/videos/920-wwc24-ankit-patel-unlocking-the-future-breakthrough-application-performance-and-capabilities-with-nvidia) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)