{"id":17102,"url":"https://alion.io/job/cerebras-ai-models-product-manager","title":"Senior Product Manager, AI Models","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":113,"ghost_share":0.142,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":202000,"max_usd":374000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2761},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cerebras","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-01-15T22:47:14Z","employer_posted_date":"2026-01-15","last_verified_at":"2026-11-02T10:12:50Z","board_verified":true,"closed_at":null,"days_open":290,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":290},"description":"Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. \nThis 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.\nCerebras works with the leading 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.\nOwn the Future of AI Inference\nCerebras 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.\nYou'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.\nWhat You'll Own\nStrategic Model Portfolio\nOwn the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit\n\nEstablish partnerships with top model labs, for day0 launches\n\nBuild relationships with open-source maintainers to accelerate community model adoption\n\nProduct Quality & Customer Success\nDefine and enforce quality standards across our model catalog through systematic evaluation frameworks\n\nDesign benchmarks and evaluations that prove our models deliver production-grade performance\n\nOwn the feedback loop: gather customer insights, identify model weaknesses, and drive improvements with engineering\n\nEnable strategic customers to integrate our inference into their products-removing blockers and optimizing for their specific use cases\n\nGo-to-Market Excellence\nLead high-impact model launches that generate buzz and adoption\n\nCreate compelling product marketing: demos, benchmarks, tutorials, and documentation that showcase what's possible on Cerebras\n\nCraft technical content that resonates with developers and decision-makers alike\n\nTechnical Decision-Making\nSelect and prioritize performance optimizations (quantization, speculative decoding, etc.) based on customer needs and hardware capabilities\n\nCollaborate with optimization engineers to implement techniques that maximize our speed advantage\n\nBalance tradeoffs between quality, latency, throughput, and cost\n\nCross-Functional Leadership\nOrchestrate launches across model enablement, optimization engineering, deployment, sales, and marketing\n\nDrive alignment in a fast-moving environment where priorities shift based on model releases and customer needs\n\nBe the voice of the customer to engineering and the voice of product to customers\n\nSkills & Qualifications\nWhat we need to see:\n5+ years of experience as a product manager, currently at or above the level of Senior PM.\n\n5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer).\n\nAbility to thrive in a fast-paced, dynamic environment. With an entrepreneurial sense of ownership and ability to lead projects.\n\nKnowledge and passion for the worlds of open-source models and generative AI research.\n\nKnowledge of the community model ecosystem, including: PyTorch, Hugging Face, vLLM, and SGLang.\n\nHighly motivated, independent, organized, and an effective communicator.\n\nComfortable using Python with the chat completions API, for basic model testing.\n\nPreferred requirements\nHow to stand out:\nProduct manager experience at a model training lab or a company that implements open-source models.\n\nExperience working with customers in a solution engineering role.\n\nExperience writing technical marketing assets and social media, with a growing portfolio.\n\nExperience working in a cross-functional organization, and leading projects across multiple teams.\n\nExperience writing model quality evaluations and system prompt harnesses.\n\nExperience writing application code in use cases such as code generation or deep research search application.\n\nExpertise on agentic flows and current LLM model family architectures.\n\nUnderstanding of model compilers and optimization.\n\nContributor to communities like vLLM, SGLang, PyTorch, or Hugging Face transformers.\n\nExperience with model optimization or compression methods like quantization.\n\nLocation\nHybrid at our Sunnyvale, California or Toronto, Canada office.\n\nRemote possible for candidates willing to travel 1-2x per quarter.\n\nWhy Join Cerebras\nPeople 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:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras 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.\nThis website or its third-party tools process personal data. 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