Note: The job is a remote job and is open to candidates in USA. GlobalFoundries is a leading full-service semiconductor foundry providing design, development, and fabrication services. They are seeking a dynamic and versatile Product Manager to drive the adoption of their software-first hardware and software co-design platform, focusing on the development and deployment of safe and secure SoCs.
Responsibilities
- Own the Product Feature Backlog: Define, prioritize, and continuously groom epics, features, and user stories, balancing customer impact, strategic differentiation, and technical feasibility
- Shape the Roadmap: Build and maintain a rolling 12–18 month product roadmap aligned with MIPS Atlas IP roadmaps, customer needs, and key design‑in opportunities
- Represent the User: Drive deep understanding of target users (embedded SW engineers, SoC architects, CI/CD owners) through usage analytics, and beta programs; convert insights into requirements and measurable outcomes
- Ship Value Frequently: Run agile ceremonies (refinement, sprint planning, review) with cross‑functional teams to deliver incremental value such as new performance reports, experiment workflows, and Python API capabilities
- Data-Driven Prioritization: Define success metrics per feature (adoption, engagement, time‑to‑insight, report share rate) and use telemetry to iterate quickly
- Support Customer Programs: Coordinate early‑access/co‑design with strategic customers and partners; manage feedback loops and product communications (release notes, enablement, demos)
- Go‑to‑Market Readiness: Collaborate with Product Marketing on value proposition driven by problems solved, key capabilities, and figures of merit
Skills
- 10+ years of experience as a software engineer and have been the Technical Lead on more than 2 projects or programs
- 3+ years of experience as a Product Manager and have bootstrapped a new product or technology initiative
- Strong technical fluency in Instruction Set Architectures, C/C++ compilers, and semiconductor simulation solutions
- Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences
- A bachelor's or master's degree in Computer Science, Electrical Engineering, or related field from an accredited university
- AI/ML Workflows: Familiarity with AI inference and model runtime optimization and understanding how AI-assisted tooling can enhance developer experience
- Data Visualization & Analytics: Experience with data visualization best practices or tools that translate complex performance data into clear actionable insights
- Shift-Left & Pre-Silicon Methodology: Understand state of the art methodologies for semiconductor design, verification/validation, virtual prototyping, or pre-RTL performance modeling workflows
Company Overview
Company H1B Sponsorship