ResiQuantAI
Location: San Francisco, CA | US Based | Resiquant.ai | Onsite, Fulltime
ResiQuant is a mission-driven startup building the future of property risk intelligence—where every building can be accurately assessed for disaster resilience, at scale. We’re solving one of the toughest problems in climate risk: the lack of reliable, standardized, and dynamic data on the built environment. Our work is critical in a world where wildfires, earthquakes, and hurricanes are escalating in frequency and impact. Empowering insurers, financial institutions, and asset managers, our AI-powered systems combine cutting-edge machine learning with deep structural engineering expertise. The result: precise, actionable insights that close critical data gaps and drive smarter decisions.
Backend Product Engineer
Responsibilities:
- Architect and maintain backend systems that support AI-driven property risk intelligence at enterprise scale
- Own end-to-end development of backend features, from design through deployment
- Design and implement scalable APIs, data pipelines, and model-integrated services to deliver real-time, high-reliability insights used by Fortune 500 insurers
- Collaborate cross-functionally with engineering, product, and customer stakeholders to build and iterate on impactful features
- Ensure backend systems are observable, reliable, performant, and ready for production at scale
- Evaluate user and customer feedback to inform product iterations and backend improvements
Requirements:
- Minimum of 3 years of backend engineering experience with ownership of production systems
- Hands-on experience developing in modern backend stacks (Python experience is a plus)
- BS or above in Computer Science/Engineering and at least three years of applicable industry experience
Forward Deployed Engineer
Responsibilities:
- Act as the technical liaison between the company and enterprise insurance customers, leading engagements from initial discovery through full-scale implementation
- Collaborate directly with underwriters, executives, and IT teams to deliver AI-driven solutions that transform risk assessment for wildfire, earthquake, and hurricane exposure
- Architect and implement custom APIs, integrations, and automations that connect customer systems with ResiQuant’s platform
- Travel to customer sites across the U.S. to conduct workshops, lead technical deployments, and ensure successful adoption of the platform
- Train and onboard underwriter teams, supporting workflow integration and long-term platform usage
- Serve as the voice of the customer, translating needs and feedback into product roadmap priorities
- Develop internal tools and automations to streamline future implementations and scale delivery
Requirements:
- Minimum of 3 years of software engineering or technical implementation experience, with strong communication and customer-facing skills
- Hands-on development experience, particularly with APIs and systems integration (Python proficiency is a plus)
- BS or above in Computer Science/Engineering and at least three years of relevant industry experience
To Apply
Please send your resume to: jordan@resiquant.ai