The job opening at SpiNNcloud Systems is for a (Senior) Product Manager specializing in AI Infrastructure. The chosen candidate will oversee the entire lifecycle of AI inference products, which involves conducting market discovery, competitive intelligence, requirement definition, roadmap execution, and ensuring go-to-market readiness. The position is remote, allowing candidates from anywhere in the world to apply.
Key Responsibilities
The selected candidate will be tasked with various significant responsibilities that are critical to the success of the product. Some of the primary duties include:
Market Research & Strategy:
Develop a keen understanding of the AI inference and Large Language Models (LLM) market, focusing on buyer needs, adoption patterns, evaluation criteria, and emerging trends.
Identify valuable market segments and use cases where the firm can excel—in terms of factors such as cost, performance, latency, throughput, energy, and deployment model.
Competitive & Ecosystem Analysis:
Keep a current view on competitors and alternatives—including chips, systems, and cloud offerings—to translate insights into product positioning and roadmap priorities.
Requirements & Roadmap Ownership:
Collaborate with Engineering and Research teams to define product requirements, success metrics, and critical milestones.
Drive roadmap prioritization by establishing clear trade-offs and ensuring the execution aligns with customer needs and measurable outcomes.
Go-to-Market (GTM) and Sales Enablement:
Work with Marketing to enhance messaging, content strategy, and product launch efforts.
Support Sales through enablement assets, including pitch narratives, competitive battlecards, FAQs, case studies, and evaluation guidance.
Technical Storytelling & Content Creation:
Produce clear and compelling technical materials such as blogs, whitepapers, solution briefs, product documentation, and presentations.
Communicate effectively why the product will succeed to both technical and business stakeholders.
Hands-on Analysis:
Utilize data to inform decisions and perform analyses on various aspects, including benchmarks, workload characteristics, and performance trade-offs.
Create small Python tools/scripts to validate assumptions and assist in product decisions.
Required Qualifications
To be a viable candidate for this role, applicants should possess several key qualifications:
Expertise in semiconductors and accelerators, with a strong understanding of customers' evaluation processes regarding hardware trade-offs (such as performance and latency).
A solid foundation in machine learning—a master’s or PhD in the field and/or significant experience in ML or AI systems is highly desirable.
Proven ability to convert technical insights into effective product strategies, including execution of effective segmentation, positioning, and roadmap prioritization.
Experience collaborating with cross-functional Engineering and Research teams in technically complex environments.
Basic knowledge of programming and comfort with technical artifacts is a plus.
Strong communication skills, with the capability to craft clear technical narratives and enablement content for diverse audiences.
High ownership and adept stakeholder management skills, enabling smooth decision-making and alignment across various teams.
Additional Information
This full-time position in AI Infrastructure is well-suited for individuals eager to make a significant impact within a growing technological sector. The applicant will engage closely with numerous teams to deliver customer value and pursue successful roadmaps through in-depth analyses and technical insight. Utilizing strong communication skills and a solid understanding of the industry, candidates are expected to thrive in a fast-paced and innovative work environment.
In conclusion, this opportunity at SpiNNcloud Systems presents a valuable platform for a skilled product manager to shape the future of AI infrastructure. If you are looking for a role that allows you to leverage your technical knowledge, market intelligence, and strategic thinking, this position might be a perfect fit.
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
