Our customers span leading AI Native companies, Fortune 500 Enterprises, Sovereign AI and Federal programs, and leading research institutions. Our mission is to deliver the platform that unlocks the next generation of AI applications, providing the fundamentally new capability to leverage the most intelligent models at real-time serving speeds. 

Why Cerebras?  

Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.  

• Unmatched speed. Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment.  
• Full-stack innovation. From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every layer so customers can focus on breakthroughs, not bottlenecks. 
• Real-world impact. Cerebras customers are transforming industries across healthcare, energy, science, government, startup ecosystems, and more. We’re proud to be serving customers spanning the Fortune 500, government labs, and AI-native unicorns. 
• Backed to win. Cerebras is supported by top investors, like Benchmark, Altimeter, Eclipse, and Coatue. 
• Fearless and fun culture. We’re a close-knit, creative team that tackles all challenges with optimism and collaboration. We’ve already productized the world’s largest chip by over 50x. How hard can the next problem be? :)   

About The Role 

As a founding member of the Strategic Verticals product team at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  

Think of yourself as part product leader, part technical expert, and part GTM strategist:  

1. Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion. 
2. Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance. 
3. Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships. 
4. Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.  

Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.  

You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience. 

Key Responsibilities 

You will: 

• Be the product leader on our most critical lighthouse accounts, each pushing the limits of what’s possible with GenAI.  
• Engage directly with companies from AI Natives at the cutting edge to large enterprises transforming their industries, to deeply understand their needs, goals, and requirements. 
• Co-architect solutions— partner with Solutions Architects, Account Managers, and our Engineering and Product teams to design tailored solutions that leverage our 10x faster speed advatanges to transform customer applications.  
• Directly advise on customers’ long-term AI strategies 
• Become a go-to-market ninja. You will be co-owning the end-to-end customer journey, working across Sales, Solutions Architects, Marketing, Engineering, and Product teams to convert interest into long-term usage and expansion. As part of this, you will also be continuously helping to improve and optimize our processes.  
• Identify new collaboration opportunities and use cases within accounts to expand Cerebras’ partnership with them. 
• Drive the product roadmap, working closely with engineering, ML, and other product teams across the company to bring your deep understanding of customer requirements to drive future feature development.  

Skills & Qualifications  

• Strong technical background (CS/EE background, or prior experience as a SWE), and familiarity with LLMs, inference needs, agents, etc.   
• 5+ years of experience as a product manager or SWE, currently at or above the level of Senior PM or SWE. Ideally, on a developer-facing product.   
• Excellent ability to communicate with customers and navigate complex, high-stakes scenarios. 
• Ability to thrive in a fast-paced, dynamic environment.  
• Self-starter with an entrepreneurial sense of ownership of overall team and product success, and the ability to make things happen around you. A bias towards getting things done, owning the solution, and driving problems to resolution.  
• Deep passion for creative problem solving and customer success.  

Preferred requirements  

• Experience with LLM serving stacks (vLLM, TensorRT-LLM, TGI), agent frameworks, etc.  
• Interest in developer platforms and tooling. 
• MBA of equivalent professional experience. 

You’ll thrive in this role if you: 

• Are T-shaped 
• Take pride in habitual excellence 
• Love working with customers to drive impact and outcomes end-to-end 
• Are passionate about innovative technology and the potential of AI to transform how we live and work for the better 
• Are a former engineer who wants to have direct influence and impact on the business 

Location   

• Hybrid at our Sunnyvale, CA office. 
• Remote possible for candidates willing to travel 1-2x per quarter.   

Own the Future of AI Inference

Cerebras powers the world's fastest AI inference. As the Product Manager for AI Models, you'll lead the strategic model portfolio that defines our product — deciding which models ship, how they perform, and how the world discovers them.

You'll partner directly with leading AI labs, drive launches that shape the industry, and ensure every model on our platform delivers exceptional quality at unprecedented speed.

What You'll Own

Strategic Model Portfolio

• Own the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit
• Establish partnerships with top model labs, for day0 launches
• Build relationships with open-source maintainers to accelerate community model adoption

Product Quality & Customer Success

• Define and enforce quality standards across our model catalog through systematic evaluation frameworks
• Design benchmarks and evaluations that prove our models deliver production-grade performance
• Own the feedback loop: gather customer insights, identify model weaknesses, and drive improvements with engineering
• Enable strategic customers to integrate our inference into their products—removing blockers and optimizing for their specific use cases

Go-to-Market Excellence

• Lead high-impact model launches that generate buzz and adoption
• Create compelling product marketing: demos, benchmarks, tutorials, and documentation that showcase what's possible on Cerebras
• Craft technical content that resonates with developers and decision-makers alike

Technical Decision-Making

• Select and prioritize performance optimizations (quantization, speculative decoding, etc.) based on customer needs and hardware capabilities
• Collaborate with optimization engineers to implement techniques that maximize our speed advantage
• Balance tradeoffs between quality, latency, throughput, and cost

Cross-Functional Leadership

• Orchestrate launches across model enablement, optimization engineering, deployment, sales, and marketing
• Drive alignment in a fast-moving environment where priorities shift based on model releases and customer needs
• Be the voice of the customer to engineering and the voice of product to customers

Skills & Qualifications  

What we need to see:

1. 5+ years of experience as a product manager, currently at or above the level of Senior PM.
2. 5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer).
3. Ability to thrive in a fast-paced, dynamic environment. With an entrepreneurial sense of ownership and ability to lead projects.
4. Knowledge and passion for the worlds of open-source models and generative AI research.
5. Knowledge of the community model ecosystem, including: PyTorch, Hugging Face, vLLM, and SGLang.
6. Highly motivated, independent, organized, and an effective communicator.
7. Comfortable using Python with the chat completions API, for basic model testing.

Preferred requirements  

How to stand out:

1. Product manager experience at a model training lab or a company that implements open-source models.
2. Experience working with customers in a solution engineering role.
3. Experience writing technical marketing assets and social media, with a growing portfolio.
4. Experience working in a cross-functional organization, and leading projects across multiple teams.
5. Experience writing model quality evaluations and system prompt harnesses.
6. Experience writing application code in use cases such as code generation or deep research search application.
7. Expertise on agentic flows and current LLM model family architectures.
8. Understanding of model compilers and optimization.
9. Contributor to communities like vLLM, SGLang, PyTorch, or Hugging Face transformers.
10. Experience with model optimization or compression methods like quantization.

Location   

• Hybrid at our Sunnyvale, California or Toronto, Canada office.
• Remote possible for candidates willing to travel 1-2x per quarter.   

The Role

As a Senior Hardware Technical Program Manager at Cerebras, you will spearhead operational excellence for our high-performance AI compute systems and data centers. You will own the end-to-end hardware schedule for design and engineering improvements, report on engineering issues, and define mitigation strategies. You will own the schedule, implementation, and software integration of hardware changes. You will collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale engine supercomputers. Your role will be critical in ensuring seamless translation of product strategy and engineering constraints into the creation and execution of massive supercomputer deployments in the US and abroad.

Responsibilities 

• Own end-to-end program schedule for engineering improvements. Develop and manage comprehensive program plans, including schedules, material plans, and validation plans.
• Work with key stakeholders in product management, quality, reliability, supply chain, and executive teams to define program strategy and requirements.
• Identify and mitigate technical risks, ensuring program deliverables are met on time and within budget.
• Act as the single-threaded owner across product, engineering, supply chain, and software to manage both detailed and high-level product planning.
• Develop and implement new processes that improve team efficiency as the business scales.
• Collaborate with supply chain, operations, and procurement teams to coordinate component sourcing, vendor management, and logistics.
• Identify and implement strategies to manage costs effectively while meeting performance and efficiency targets.
• Present program status, metrics, and operational risks to senior leadership

Requirements

• Bachelor’s or Master’s degree in computer science, electrical engineering, mechanical engineering, physics, mathematics, a related scientific/engineering discipline, or equivalent practical experience. 
• 8+ years of experience in technical program management, with a focus on hardware, embedded SW, and product planning.
• Strong understanding of hardware design processes, product lifecycle management, and manufacturing workflows. 
• Strong understanding of the intersection of software and hardware, and how hardware changes affect software workflows.
• Proven experience effectively managing project priorities across a diverse set of hardware, software, product, and operations disciplines.
• Demonstrated ability to work effectively with highly technical cross-functional engineering teams.
• Familiarity with project management software, such as MS Project or Smartsheet.
• Strong business acumen with experience in cost management and analysis.
• Outstanding verbal and written communication skills.

The base salary range for this position is $180,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.