Product Manager – Atlas Explorer

What You'll Do

• Responsibilities and Duties 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.
• Key Qualifications 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.
• 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.
• A bachelor’s or master’s degree in Computer Science, Electrical Engineering, or related field from an accredited university.
• To Apply Submit your resume and a cover letter explaining how your experience makes you the ideal fit for this role.
• Feel free to include supporting materials such as documentation, repositories, training content, or conference presentations.
• We welcome passionate candidates even if you don’t check every single box! Expected Salary Range $191,000.00 - $363,000.00 The exact Salary will be determined based on qualifications, experience and location.
• If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information.
• Requests for accommodation will be considered on a case-by-case basis.
• Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
• An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
• GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential.
• GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people.
• Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
• All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law