Product Manager - AI Cluster Management Software
Cerebras
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
- Define and deliver a world-class cluster management experience with a focus on observability, management, monitoring and security.
- Collaborate with engineering to design reliable, scalable solutions and APIs tailored to cluster operator workflows.
- Develop a deep understanding of cluster operator needs through user and market research.
- Communicate product updates and roadmap progress clearly to internal and external stakeholders.
- 5+ years of product management experience, preferably in infrastructure observability and security domains.
- Expert knowledge of security tools such as IAM, IDP, SIEM, Key management systems.
- Expert knowledge of observability solutions such as Prometheus, Grafana, log management systems, observability management systems.
- Familiarity with cluster orchestration tools and concepts (e.g., Kubernetes).
- Strong ability to think at the API and platform layers, designing solutions for operator workflows.
- Excellent communication and collaboration skills, with the ability to work effectively across diverse teams.
- Technical background (e.g., computer science, engineering) or the ability to engage deeply with engineering teams.
- Proven ability to excel in a fast-paced, dynamic environment.
- Experience in enterprise software, cloud infrastructure, or AI/ML platforms.
- Understanding of security and authentication principles in software systems.
- Familiarity with monitoring, telemetry, and fault tolerance in distributed systems.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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