Drimva

Waymo

Manager, Resilience Risk

$200K–$247K

Mountain View, CA, USA +3 · Manager · Full-time · Posted Aug 20, 2026

Location
Mountain View, CA, USA
San Francisco, CA, USA
Mountain View, California, United States
San Francisco, California, United States
Experience
8+ years in a risk-related field; complex operations involving software and real-world risk are preferred.

About the job

Leads enterprise resilience risk assessment, oversight, reporting, and mitigation across Waymo’s critical services, infrastructure, and operations.

What you'll do

  • Lead resilience risk assessments and maintain the Enterprise Resilience Risk Register, including risk ownership and independent oversight.
  • Develop resilience metrics, KPIs, and dashboards; analyze trends and report insights to executives, committees, and the organization.
  • Set resilience risk strategy and escalation paths, advise on initiatives and market expansions, and coordinate responses to emerging standards and regulations.

What they ask for

  • 8+ years of experience in a risk-related field, preferably involving complex software and real-world operations.
  • Track record of cross-functional partnership to identify and map dependencies, risks, and mitigations.
  • Strong communication skills, including conveying complex risk profiles to executives, committees, and frontline teams.
  • Familiarity with business continuity concepts, including the relationship between Business Impact Analysis (BIA) and risk assessments.

Nice to have

  • Experience building resilience risk programs in evolving regulatory environments or highly regulated industries.
  • Experience with auditing and conformance, quantitative risk models, capability maturity frameworks, or using data and AI tools such as Gemini and Google Workspace.

Pay

$200,000 — $247,000 USD base salary

Tools

Gemini, Google Workspace, CMMI, FAIR, Value-at-Risk, ISO 31000, ISO 22301

AI focus

Preferred: leverage data and AI tools, such as Gemini and Google Workspace, to optimize processes and solve complex problems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)