Business Process Analyst, Supply Chain

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’re looking for a Business Process Analyst to help design, document, and improve the systems and workflows that power our global supply chain operations. You will work at the intersection of people, processes, and technology — partnering with teams across Procurement, Planning, Logistics, and Manufacturing to identify gaps, streamline operations, and translate business needs into actionable system configurations and process improvements. This role is directly connected to our ability to scale supply chain operations as Tenstorrent grows, and will contribute meaningfully to ERP adoption, integration mapping, master data quality, and cross-functional change management.

This role is remote, based out of 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.

Who You Are

• Experienced in business process analysis or operations improvement within a fast-moving supply chain, manufacturing, or hardware environment — with a data-oriented mindset and the ability to identify root causes of process breakdowns and recommend practical, scalable solutions.

• Comfortable working across ERP and PLM systems — you understand how processes are configured in tools like SAP or similar platforms, can map system integrations, and bridge the gap between system behavior and business intent.

• Skilled in master data management, with an understanding of how data governance and data quality underpin reliable supply chain operations.