Sr. Cloud Product Manager

Posted 10 Days Ago
Hiring Remotely in United States
Remote
Senior level
Hardware • Manufacturing
The Role
As a Sr. Cloud Product Manager at Tenstorrent, you will manage the product lifecycle for cloud products tailored for AI workloads, coordinating with engineering and marketing teams while developing strategies, roadmaps, and conducting market analysis.
Summary Generated by Built In

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We are seeking a talented and experienced Product Manager to lead our Cloud product line. 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.

This role is hybrid, based out of Austin, TX, Santa Clara, CA, Toronto, ON.

We welcome candidates at various experience levels for this role. 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.


Responsibilities:

  • 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.


Experience & Qualifications:

  • 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.


Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Top Skills

Ai Frameworks
Ai Hardware
Api-As-A-Service
Bare-Metal Deployments
Cloud Computing Architectures
Cloud Services
Iaas
Infrastructure
Kubernetes
Onnx
Paas
Product Management
PyTorch
SaaS
TensorFlow
Virtual Machines
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The Company
HQ: Toronto, ON
389 Employees
On-site Workplace
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI.

Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.

Join us: www.tenstorrent.com/careers

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