At ResiQuant, we're tackling one of the biggest challenges in disaster resilience: the lack of accurate, standardized, and dynamic property data. In a world increasingly impacted by climate change and natural disasters like earthquakes, hurricanes, and wildfires, decisions about risk are often made with incomplete or incorrect information.
Our mission is to empower insurers, financial institutions, and asset managers with AI systems fused with structural engineering expertise. These systems bridge critical data gaps to deliver precise, actionable building insights for better decision-making.
Founded by Stanford PhDs, we are committed to leveraging cutting-edge AI to protect communities and businesses from disaster impacts. At ResiQuant, we're building a future where every organization has access to world-class property risk intelligence to drive resilience and safeguard what matters most.
You will be the technical bridge to enterprise insurance customers, owning the end-to-end journey from initial technical discovery through full product integration. As our first forward deployed engineer, you'll work directly with underwriters, executives, and engineering teams at top-tier insurance carriers to implement AI solutions that reshape how trillion-dollar portfolios assess wildfire, earthquake, and hurricane risks. Your work will directly impact how communities and businesses build resilience against escalating climate disasters.
You will get to:
Key Responsibilities:
Technical Customer Discovery: Lead stakeholder workshops and shadow insurance professionals to map complex underwriting processes that have operated unchanged for decades
Solutions Architecture: Design and specify API integrations, data flows, and workflow automations tailored to each customer's internal systems and business requirements
Hands-on Implementation: Write code, build prototypes, and deploy integrations that connect ResiQuant's AI platform with customer systems
Customer Success Engineering: Onboard and train underwriters one-on-one, ensuring adoption across teams of users per customer
Internal Tooling Development: Build AI-powered automation tools to streamline your own workflow and scale the implementation process
Product Feedback Loop: Serve as the voice of the customer to our product and engineering teams, driving features that unlock substantial customer value
Qualifications:
3-5 years of software engineering experience
Computer Science degree or equivalent technical background
Exceptional customer empathy and communication skills
Analytical problem-solving mindset
AI tool proficiency
Full commitment to travel and in-person work
Startup intensity and ownership mentality
What Drives Us:
Impact
Resolve
Urgency
Why Join ResiQuant:
Founding Impact
Technical Innovation
Real-World Impact
Culture Building
Day to Day:
Customer Technical Discovery
Solutions Architecture & Implementation
On-site Customer Deployment
User Training & Adoption
Integration Project Management
Product Feedback & Innovation
Technical Relationship Building
Internal Tooling Development
What We Offer:
Competitive Compensation
Founding Team Equity
Premium Benefits
Innovation Environment
Mission-Driven Work