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Tier-1 employer, metro location, and a popular product manager role attract many qualified applicants.
Highly specialized LLM infrastructure and vendor experience limits cross-industry transferability.
Explicit 10–12 year requirement plus mandatory hands-on coding and LLM infrastructure skills makes screening strict.
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Own and operate the capacity intelligence layer for Salesforce's LLM fleet, building automated systems for real-time TPM/RPM utilization monitoring across models, regions, and providers.
Forecast and model capacity demand for trillion token workloads, developing financial and operational models for hyperscaler commitments and internal cluster sizing balancing latency SLAs and cost.
Automate capacity management decisions through scripting and pipelines, manage model spend and economics across providers, and create an operating playbook defining the end-to-end model capacity lifecycle.
10 to 12 years of experience in technical or infrastructure product management or equivalent role with hands-on building responsibilities.
Proficiency in Python coding and automation scripting, including use of AI coding agents for operational tasks.
Strong data analysis and mathematical skills for telemetry interpretation and forecasting using tools like SQL and Splunk.
Deep understanding of LLM infrastructure concepts such as tokens, TPM/RPM rate limits, model latency, and economics of provisioned throughput versus pay-as-you-go pricing.
Experienced in operating and supporting production systems at scale with knowledge of incident and capacity management distinctions.
Comfortable engaging with vendor partners for commercial and technical discussions involving multiple 3rd party LLM providers.
Skilled in building internal tooling such as dashboards and automation apps that reduce manual toil and improve operational efficiency.