Top Operations & Support Jobs in San Francisco, CA

Leads strategic workforce management for Coinbase Customer Experience operations. Owns AI-informed capacity planning, forecasting, scenario modeling, staffing plans, cost modeling, and executive workforce narratives. Partners with Finance, Legal, Compliance, Product, and Operations on resourcing, regulatory readiness, automation, and productivity initiatives. Builds business cases, drives cross-functional alignment, and serves as a workforce planning center of excellence across the organization.

Own end-to-end fraud risk controls for ACH payments, detect and mitigate fraudulent deposits, run quantitative analysis of rule performance and financial impact, partner with product/ML/engineering to operationalize risk strategies, and investigate anomalous customer and transaction behavior.

Chief of Staff to the CHRO, owning the People leadership team’s operating rhythm, driving cross-functional initiatives, preparing executive-ready narratives and communications, and proactively resolving issues before they escalate.

Lead and oversee all Bermuda operations, including outsourced providers; build supervision and operational resilience frameworks; manage regulatory and banking relationships; coordinate incident response, business continuity, and first-line defense activities; drive cross-functional delivery of operational and risk initiatives.

Lead AI-informed workforce forecasting and capacity planning for Compliance Operations; advise executive leadership; build cross-functional partnerships; develop OpEx forecasts and multi-scenario staffing models; drive operational improvements and regulatory readiness; extend WFM methodology across adjacent teams.

Provide Tier 2 support and escalation management for hardware, OS, networking, and access issues across multiple platforms. Administer enterprise SaaS (Google Workspace, Atlassian, Okta, Jamf, Slack), perform root cause analysis, build SOPs/knowledge base, collaborate with cross-functional teams, and automate workflows to reduce ticket volume and improve SLA performance.

Partner with institutional product and sales leaders to structure ambiguous strategic problems, build quantitative models and business cases, analyze competitive positioning, design experiments, and implement data-driven recommendations that shape product and go-to-market strategy. Drive end-to-end projects and improve processes and operational tooling.