ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

IP Product Program Manager at Tenstorrent - ApplyBlast

IP Product Program Manager

Tenstorrent

1 month ago

3.6 on Glassdoor

Santa Clara, California, United States

Hybrid

Full Time

Manager

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

The IP Product Program Manager at Tenstorrent will own the end‑to‑end customer journey for IP products, aligning milestones and deliverables with product strategy and coordinating across architecture, design, and software teams. The role involves driving execution, maintaining clear communication with senior stakeholders, and ensuring program goals are met through regular reviews and status reporting.

Responsibilities

Coordinate and communicate between customers, IP product team, and engineering
Drive agreed actions to completion across architecture, design, and software teams
Track program goals, deliverables, and status reporting to senior management

Skills

Qualifications

Bachelor's degree in Computer Science, Electrical or Computer EngineeringMaster's degree in Computer Science, Electrical or Computer Engineering

About Tenstorrent

tenstorrent.com

Headquarters

Toronto, Ontario, Canada

Company Size

201-500 employees

Founded

2016

View Profile

Tenstorrent is a next‑generation computing company that builds computers optimized for AI workloads. They design AI silicon and systems—leveraging RISC‑V, custom ASICs, and advanced architecture—alongside neural‑network compilers and software to accelerate training and inference. Headquartered in the U.S. with offices in Austin and Silicon Valley and global teams in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together expertise in computer architecture, ASIC design, and compiler technology. Their hardware‑plus‑software approach targets developers, researchers, and enterprises needing scalable, efficient AI compute.