Senior Product Marketing Manager, AI Inference

Cerebras Systems builds the world’s largest AI chip with wafer-scale architecture for AI compute power and simplified programming. Our approach enables industry-leading training and inference speeds and allows users to run large-scale ML applications with less hardware management.

Cerebras’ customers include top model labs, global enterprises, and AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras to deploy scale-enabled workloads.

Thanks to the wafer-scale architecture, Cerebras Inference offers fast AI inference, enabling real-time iteration and higher productivity for AI applications.

About The Role

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.

Responsibilities

Product Positioning & Messaging

• 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.

Competitive Product Marketing

• Lead competitive intelligence strategy across AI accelerators, GPU-based systems, custom silicon, and hyperscale infrastructure providers.
• Build battlecards, 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.

Technical Content & Thought Leadership

• 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.

Market & Industry Strategy

• 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.

Cross-Functional Leadership

• 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.

Skills And Qualifications

• 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 systems, and performance benchmarking.
• Strong technical writing portfolio (whitepapers, performance analyses, technical blogs).
• Experience working closely with engineering and product teams.
• Ability to communicate effectively with highly technical audiences.
• Strong executive presence and cross-functional influence.

Preferred

• Experience in AI hardware, semiconductor, HPC, cloud infrastructure, or hyperscale environments.
• Familiarity with large language models, foundation model training, and inference optimization.
• Experience supporting enterprise and government customers in AI infrastructure adoption.

Leadership Attributes

• Technically credible and intellectually rigorous.
• Strategically competitive and market-aware.
• Clear, precise communicator.
• Data-driven decision maker.
• Operates with urgency and ownership.

Why Join Cerebras

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Collaborative, respectful work culture.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Equality and diversity are valued. Cerebras is an equal opportunity employer. We celebrate diverse backgrounds, perspectives, and skills. We strive to build a work environment that supports learning, growth, and collaboration.