Cloud Product Manager, Tenstorrent
$100-500k
OTE
$100k
BASE
Salary dependent on location
Building computers for AI
Open for applications
Building computers for AI
501-1000 employees
Open for applications
$100-500k
OTE
$100k
BASE
Salary dependent on location
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- Strong product management experience (5-8 yrs), preferably in cloud services, infrastructure, or AI hardware industries. History having built a cloud from the ground up
- Deep understanding of cloud computing architectures, including API-as-a-Service, virtual machines, bare-metal deployments, and Kubernetes infrastructure
- Knowledge of hardware architecture for cloud environments, including CPUs, GPUs, AI accelerators, and memory subsystems
- Experience with AI-specific cloud infrastructure optimization and deployment
- Understanding of AI and machine learning concepts, including hardware acceleration techniques and distributed computing
- Experience with AI frameworks and tools, such as TensorFlow, PyTorch, and ONNX
- Knowledge of cloud service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid)
- Excellent communication and presentation skills
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, dynamic environment
- Familiarity with industry standards and certifications for cloud services
What the job involves
- As a Product Manager, you will be responsible for the entire product lifecycle, from strategy and roadmap development to launch and post-launch support
- You will work closely with engineering, sales, and marketing teams to ensure the success of our Cloud products specifically designed for AI workloads utilizing Tenstorrent's hardware
- Product Strategy: Develop and execute a comprehensive product strategy for our Cloud products, aligning with the company's overall vision and goals for AI acceleration
- Product Roadmap: Create and manage detailed product roadmaps, prioritizing features and functionalities based on market needs and technical feasibility across both hardware and software components
- Market Analysis: Conduct thorough market research to identify opportunities, threats, and customer needs in the AI cloud infrastructure space
- Product Definition: Define product requirements, specifications, and features in collaboration with engineering and sales teams for both hardware architecture and software infrastructure
- Product Launch: Plan and execute successful product launches, including marketing campaigns, sales enablement, and customer training for cloud services
- Post-Launch Support: Provide ongoing support to customers, including troubleshooting, documentation, and feature enhancements in the context of the product pipeline
- Cross-Functional Collaboration: Work closely with engineering, sales, marketing, and operations teams to ensure smooth product development and delivery of cloud solutions
Application process
- During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
SERIES D
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company HQ
Flemingdon Park, Toronto, ON
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
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