Cerebras
Senior Product Manager, AI Models
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Sunnyvale, CA
Employer listed it 8 months ago · Added today
Been open since 8 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Sunnyvale, CA
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Product
This employer didn't state pay. Jobs like this usually pay around $165k–$215k a year, a typical range taken from 162 senior-level product roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Sunnyvale, CA, Remote (US), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Remote (US), Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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. 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. Cerebras 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.
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
Requirements
- ·What we need to see:
- ·5+ years of experience as a product manager, currently at or above the level of Senior PM.
- ·5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer).
- ·Ability to thrive in a fast-paced, dynamic environment. With an entrepreneurial sense of ownership and ability to lead projects.
- ·Knowledge and passion for the worlds of open-source models and generative AI research.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 21h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open product roles with comparable remote rules.
Free to apply, no account needed.
Typically $165k–$215k · You'll be taken to the employer's careers page.