Senior Director, Technical Product Marketing – AI Compute

About the Role

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 top model labs, global enterprises, and cutting‑edge AI‑native startups. OpenAI recently announced a multi‑year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high‑speed inference.

Thanks to the groundbreaking wafer‑scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU‑based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real‑time iteration and increasing intelligence via additional agentic computation.

We are seeking a Senior Director of Technical Product Marketing – AI Compute to lead positioning, messaging, and competitive strategy for our AI infrastructure platform. This leader will operate at the intersection of product, engineering, sales, and marketing to articulate the technical and business value of next‑generation AI compute systems.

This role requires deep expertise in competitive product marketing, exceptional technical writing skills, and strong AI industry acumen with a focus on infrastructure (accelerators, clusters, interconnect, training/inference performance, scaling architectures).

The ideal candidate can translate highly complex systems‑level innovations into compelling narratives for technical buyers, executives, and industry analysts — while driving competitive differentiation in a rapidly evolving AI landscape.

• Own the end‑to‑end messaging framework for AI compute products and infrastructure solutions.
• Develop clear, technically rigorous positioning for training and inference workloads.
• Translate architecture‑level differentiation into customer‑facing value propositions.
• Create messaging that resonates with ML engineers, CTOs, CIOs, and AI research leaders.

• Lead competitive intelligence strategy across AI accelerators, GPU‑based systems, custom silicon, and hyperscale infrastructure providers.
• Build battle cards, competitive briefs, win/loss analysis, and field enablement materials.
• Partner with Sales to refine positioning based on market feedback.
• Anticipate competitor narratives and proactively shape category perception.

• Produce high‑quality technical content including whitepapers, blog posts, solution briefs, performance analyses, and architecture deep dives.
• Collaborate with engineering teams to ensure technical accuracy and credibility.
• Support major product launches with detailed technical documentation and proof points.
• Contribute to industry thought leadership around AI scaling, inference performance, and compute efficiency.

• Monitor AI infrastructure trends including model scaling laws, inference economics, custom silicon innovation, and datacenter architectures.
• Engage with analysts, media, and technical influencers to shape industry perception.
• Support executive communications with technical narratives and industry framing.

• Partner closely with Product Management to influence roadmap based on market dynamics.
• Align with Developer Relations, Corporate Marketing, and Field teams on go‑to‑market execution.
• Lead and mentor a high‑performing technical product marketing team.

• 12+ years of experience in product marketing within enterprise technology or infrastructure.
• Demonstrated expertise in competitive product marketing in highly technical markets.
• Deep understanding of AI/ML infrastructure, including accelerators, model training, inference workloads, distributed…