Aurora Logo

Aurora

Senior Insurance Risk Manager

Posted One Month Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
147K-236K Annually
Senior level
Hybrid
San Francisco, CA, USA
147K-236K Annually
Senior level
Leads corporate insurance strategy, policy placements, renewals, broker and carrier negotiations, quantitative risk modeling, enterprise risk assessments, claims management, and governance. Partners with Legal, Finance, and Operations to mitigate operational and financial exposures. Develops risk financing strategies, maintains compliance documentation, and applies AI-driven tools to improve claims processing, reporting, and predictive cost modeling.
The summary above was generated by AI

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

 

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Insurance Risk Manager. Reporting to the Sr. Director, Business Risk & Insurance, the Assistant Risk Manager (Insurance Focus) is responsible for the strategic oversight and tactical execution of Aurora’s corporate insurance programs. This role serves as a critical lead in identifying, assessing, and mitigating operational and financial risk exposures to safeguard company assets and ensure long-term stability. The Manager will drive the policy renewal process, manage complex claims portfolios, and leverage advanced quantitative models to optimize risk financing strategies.

In this role, you will

  • Insurance Strategy & Program Management: Lead the comprehensive life cycle of corporate insurance placements (e.g., General Liability, Property, Auto, Workers' Compensation, and D&O), including strategy development, broker management, and premium negotiation.

  • Quantitative Risk Modeling: Oversee the development and validation of sophisticated risk models—including exposure analysis, catastrophe modeling, and loss data statistics—to drive data-backed decisions on risk retention and transfer.

  • Risk Assessment & Identification: Conduct regular enterprise-wide operational audits to identify emerging risks, performing detailed financial projections to recommend optimized risk control solutions.

  • Claims Management & Advocacy: Direct the investigation and management of high-exposure insurance claims, acting as the primary advocate for the company in negotiations with brokers and carriers to ensure favorable settlements.

  • Corporate Compliance & Governance: Develop, maintain, and audit the corporate Risk Management Manual, ensuring all procedures comply with evolving safety regulations and internal governance standards.

  • Strategic Stakeholder Collaboration: Partner with executive leadership across Legal, Finance, and Operations to align risk strategies with commercial milestones and promote enterprise-wide loss prevention initiatives.

  • AI Integration for Risk: Pioneer the use of AI-driven tools and agentic workflows to accelerate claims processing, automate routine risk reporting, and improve the accuracy of predictive cost modeling.

Required Qualifications

  • Bachelor’s degree in Risk Management, Finance, Business, or a related quantitative field.

  • Minimum 8+ years of progressive experience in corporate risk management, insurance brokerage, or underwriting. 

  • Advanced mastery of insurance principles, complex policy language, and alternative risk financing structures (e.g., captives or large deductible programs).

  • Expert proficiency in Risk Management Information Systems (RMIS) and advanced data visualization tools. Demonstrable ability to create and interpret complex financial models. 

  • Strong track record of successfully negotiating with major global insurers and communicating high-level risk concepts to executive stakeholders.

Desirable Qualifications 

  • Knowledge of Python, SQL, or AI-powered analytical platforms. 

  • Professional designations such as CRM (Certified Risk Manager), ARM (Associate in Risk Management), or CPCU (Chartered Property Casualty Underwriter).

  • Prior experience in the Autonomous Vehicle (AV), technology, or logistics/trucking sectors is highly preferred.

The base salary range for this position is $147,000-$236,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-JH1x

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

HQ

Aurora Mountain View, California, USA Office

280 N Bernardo Ave, Mountain View, CA, United States, 94043,

Aurora San Francisco, California, USA Office

85 Bluxome St, San Francisco, United States, 94107

Similar Jobs

8 Minutes Ago
Hybrid
San Jose, CA, USA
219K-272K Annually
Junior
219K-272K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research LLMs, optimization, fine-tuning, and agentic AI; publish findings through technical reports and conference submissions; and independently pursue impactful research agendas.
Top Skills: Aws UltraclustersCloud ComputingCompiler DesignDeep LearningGradient CheckpointingHugging FaceLarge Language ModelsLightningModel CompressionModel SparsificationNatural Language ProcessingPyTorchQuantizationReinforcement Learning From Human FeedbackTraining Parallelism
8 Minutes Ago
Hybrid
San Jose, CA, USA
219K-272K Annually
Junior
219K-272K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and build foundation models from design through training, evaluation, validation, and production implementation. Collaborate with data scientists, engineers, and product managers to deliver AI-powered products at scale. Research emerging methods, optimize large deep learning models, translate technical findings into business outcomes, and contribute to technical reports and conference publications. The role requires advanced expertise in foundation models, deep learning, optimization, NLP, or fine-tuning.
Top Skills: Aws UltraclustersCloud ComputingCompiler DesignDeep LearningGradient CheckpointingHugging FaceInstruction TuningLarge Language ModelsLightningModel CompressionModel SparsificationPyTorchQuantizationReinforcement Learning From Human FeedbackSelf-Supervised LearningTraining ParallelismTransfer Learning
8 Minutes Ago
Hybrid
San Francisco, CA, USA
251K-287K Annually
Senior level
251K-287K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the strategy, vision, and product team for enterprise AI/ML platforms supporting model training, model serving, and generative or agentic AI applications. Partner with platform leaders to build integrated capabilities, improve user experiences for data scientists and developers, drive adoption, and deliver business value. The role requires technical product leadership, AI/ML expertise, cross-functional influence, and people management.
Top Skills: Agentic AiSparkAWSGenerative AiKubernetesLangchainMachine LearningRay

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account