General Manager MLPerf

You will own the MLPerf strategy, financial outcomes, roadmap, and benchmark lifecycle. You will lead staff, build consensus among stakeholders, contribute to benchmark design and results analysis, cultivate board and member relationships, and align technical priorities with business value.

Responsibilities

• Own the MLPerf P&L and overall strategy.
• Map the strategic roadmap to financial outcomes.
• Drive revenue generation through community cultivation.
• Set investment priorities and align technical roadmap and product development with financial sustainability.
• Partner with working groups to define, prioritize, and execute the benchmark roadmap.
• Cultivate member and board relationships.
• Improve the benchmark lifecycle while maintaining reproducibility and transparent governance.
• Build consensus among technical working groups and stakeholders.
• Contribute to benchmark design, rules definition, and results analysis.
• Build and lead a product-focused team.
• Partner with engineering to ensure high-quality delivery.

Requirements

• Product management experience, ideally in technical standards, evaluation platforms, or AI developer tools.
• Deep understanding of AI and machine-learning systems, benchmarking, and performance engineering.
• Strategic understanding of the AI ecosystem and performance metrics.
• Analytical skills and judgment for trade-offs in a multi-stakeholder environment.
• Communication skills bridging engineering and non-technical stakeholders.
• Experience with enterprise procurement or translating technical product data into business or economic value.
• Familiarity with AI hardware and inference and training software stacks.
• Experience with a consortium, standards body, open-source community, or other multi-stakeholder environment.

Benefits

• Remote-first work.
• Flexible working environment.