Staff Business Systems Analyst

Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.

Sunnyvale, California, United States
About Cerebras Systems, Inc.

Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.

View jobs by Cerebras Systems, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will shape roadmaps and business cases, map processes, gather and translate requirements, and create sprint-ready work. You will facilitate solution design, lead validation and release readiness, embed compliance controls, resolve production issues, and identify workflow automation and AI opportunities.

Requirements

  • Experience in a senior business systems, business process, product, program, or comparable enterprise-systems role
  • Experience leading end-to-end business transformations
  • Functional depth in enterprise domains such as Finance, Supply Chain, People, or Legal
  • Experience with ERP and adjacent business platforms
  • Business-analysis skills including process modeling, requirements elicitation, functional specifications, user stories, acceptance criteria, UAT, and release readiness
  • Experience with SOX, compliance, controls, governance, and audit requirements
  • Ability to maintain a hybrid presence in the Bay Area

Responsibilities

  • Shape roadmaps, business cases, intake, prioritization, and measurable outcomes
  • Lead process mapping, root-cause analysis, and gap assessments
  • Translate business needs into requirements, process flows, user stories, and acceptance criteria
  • Facilitate cross-functional design sessions and evaluate solution tradeoffs
  • Maintain requirements traceability and lead functional validation and user acceptance testing
  • Embed compliance, auditability, security, data quality, and operational controls into designs
  • Analyze production issues and business-process KPIs
  • Lead or support vendor evaluations
  • Identify workflow automation and AI-enabled opportunities
  • Establish reusable business-analysis standards and coach peers