Product Manager - Appliance & Infrastructure (USA/Remote)

About us:

At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.

Job Description:

We are seeking an experienced and strategic Product Manager to lead the development, integration, deployment, and expansion of our AI platform across multiple infrastructures. As the Product Manager for Appliance and Infrastructure initiatives, you will define and execute the product vision, strategy, and roadmap, ensuring scalable, secure, and reliable solutions that meet business and customer needs. Collaborating closely with cross-functional teams, including engineering, DevOps, software architecture, and operations, you will drive enterprise-level outcomes that transform customer experiences. If you're a creative problem solver with a passion for delivering impactful results, we'd love to have you on our team.

Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field; MBA is a plus 

• 7+ years of product management experience, with a focus on AI SW products and/or GPU server technologies 

• Deep understanding of Generative AI, Machine Learning, and AI infrastructure fundamentals 

• Ability to map GenAI SW use cases across inferencing, fine-tuning, and training workloads to AI accelerator/cluster configurations 

• Strong technical acumen and ability to communicate GenAI SW + HW tech stack to various audiences 

• Proven track record of successfully launching and scaling enterprise-level products 

• Excellent analytical and problem-solving skills, with a data-driven approach to decision-making 

• Outstanding leadership and interpersonal skills, with the ability to influence and collaborate across partners and customers 

• Aptitude to learn multiple functional areas of business – engineering, program / project management, finance, sales, marketing. 

• Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out arguments in a well-structured, data-informed, written narrative. 

• Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship. 

Key Competencies:

• Strategic thinking and vision setting 

• Deep understanding of GenAI workloads and AI accelerator server configurations 

• Cross-functional team leadership 

• Product lifecycle management 

• Market analysis and competitive intelligence 

• Customer-centric approach to product development 

Responsibilities:

• Product Roadmap: Define and prioritize features and enhancements based on business & technical objectives, market research, customer research and feedback. Develop and maintain product roadmaps, timelines, and release plans.

• Product Development: Lead product development lifecycle from concept to launch, including gathering requirements, creating user stories, and managing sprints. Develop detailed product requirements documents (PRDs) and user stories, outlining functional specifications, user flows, and acceptance criteria.

• Product Strategy: Develop strategies for scaling appliances from a single server to large clusters, considering hardware and infrastructure constraints such as CPU cores, memory, and interconnects in large-scale deployments for cloud and on-prem deployments.

• Guide software development teams in making hardware-conscious decisions that impact performance and scalability.

• Stay up to date with the latest advancements in hardware, including accelerators, and high-performance computing trends.

• Risk Management: Accountable for ensuring that the product capabilities are valuable and viable. The product manager is also responsible for collaborating with product technologists, applied research and engineering teams to address feasibility and usability risks.

  • Value risk (will people buy it, or choose to use it?)

  • Usability risk (can users figure out how to use it?)

  • Feasibility risk (can we build it with the time, skills, and technology we have?)

  • Business Viability risk (will this solution work for the various dimensions of our business?)

  • Metrics & Analysis: Define key performance indicators (KPIs) to measure the success of product features and capabilitie