Senior Director, Technical Product Marketing – AI Compute
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.
About The Role
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.
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
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 2026.
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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