Strong interpersonal skills with a proven track record collaborating across diverse, cross-functional teamsOutstanding verbal and written communication skills for clearly presenting findings to key partners and executives Familiarity with cloud/ML compute infrastructure concepts (GPUs, TPUs, capacity, utilization) Experience partnering with Governance, FinOps, or platform teams in a large-scale infrastructure environment Background in change management or process design during periods of rapid team/program growth Outstanding attention to detail with a focus on accuracy and precision in analysis and reporting MBA preferred for important connection of engineering complexity with business and financial impact. Bachelors Degree 8+ years of relevant work experience managing SW, ML, or compute capacity programs Demonstrated experience scaling operational structure (support tiers, escalation processes, onboarding) for a fast-growing team or program Experience co-driving feature delivery with an engineering or platform lead, translating architecture/systems design into a shippable roadmap Proven track record owning recurring executive or leadership review cadences (QBRs, MBRs, or equivalent) end to end - content, prep, and delivery Ability to operate with a high level of ambiguity and complexity in a founding, ground-up program.