Manager, Resilience Risk
Waymo · Mountain View, CA, USA; San Francisco, CA, USA · Mountain View (US-MTV-EMF680) · San Francisco (US-SFO-MKT555)
CHECKED 6H AGO
Roboticsonsitemanager$200k–$247k
At a glance
Highlights
- Promote safety of Waymo's fully autonomous driving technology.
- Lead resilience assessments for disruptions like extreme weather.
- Build enterprise resilience metrics to guide strategic decisions.
What they offer
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
Ideal candidate
Curious, detail-oriented risk leader with 8+ years in complex operations who thrives partnering across teams. Passionate about resilience, safety-critical systems, and turning complex data into clear executive decisions.
Requirements
- 8+ years of experience in a risk-related field, preferably with complex operations including software and real-world risk
- Track record of strong cross-functional partnership to identify dependencies, risks and mitigations
- Extreme curiosity to understand status quo and consider alternatives
- Exceptional attention to detail with ability to synthesize complex information into clear documentation
- Proven track record communicating complex risk profiles to executive and frontline audiences
- Familiarity with business continuity concepts, specifically relationship between BIA and risk assessments
- Experience evolving qualitative risk matrices into data-driven frameworks using CMMI, FAIR or Value-at-Risk models
- Experience in highly regulated industries such as Automotive, Maritime, Aviation with safety-critical systems
- Demonstrated experience leading auditing and conformance for ISO 31000, ISO 22301 or safety-critical frameworks
- Forward-thinking approach to leveraging data and AI tools like Gemini and Google Workspace
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project