Product Engineer (Backend) - Resiquant AI
- Pay
- $1 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 23 days ago
Skills & highlights for this role
- Python
- databases
- AWS
- GCP
- model APIs
- retrieval pipelines
Also useful
- PostgreSQL
- CI/CD
- observability
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k match
The Role
You will architect and own the backend systems that power AI-driven property risk intelligence at enterprise scale. You’ll design APIs, data pipelines, and model-integrated services that deliver reliable, real-time insights insurers can trust in billion-dollar underwriting decisions. As an early team member, you’ll collaborate closely with the founders to shape both the platform’s technical foundation and how cutting-edge AI is applied safely and effectively in the insurance industry.
What You’ll Do
- Own backend features end-to-end - from design to deployment.
- Architect scalable services and integrations for Fortune 500 insurers.
- Develop pipelines to ingest, validate, and transform large-scale property datasets.
- Build and optimize AI-assisted backend capabilities (API design, retrieval-backed features, monitoring).
- Ensure observability, reliability, and performance across systems.
- Collaborate with founders, engineers, and customers to iterate quickly on impactful features.
Who You Are
- 0-5 years of engineering experience (1-3 years ideal). Exceptional new grads welcome.
- BS in Computer Science or equivalent.
- Skilled in Python, databases, and cloud platforms (AWS/GCP).
- Experience shipping AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).
- Proficient with modern AI tools for coding and productivity.
- Thrive in fast-paced, high-stakes environments with strong ownership mentality.
Nice to Have
- PostgreSQL schema design and migration experience.
- Familiarity with observability (logs, metrics, traces) and performance tuning.
- CI/CD pipelines and deployment automation.
What We Offer
- Competitive salary + significant equity.
- Full medical, dental, and vision benefits.
- 401(k) with company match.
- Daily lunch + commute support in our SF office.
- Fast-paced, mission-driven environment with access to cutting-edge AI and research.
About Us
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.
Why Join US
- Founding Impact: Help architect the core backend of a company disrupting the $200B insurance industry.
- Growth: Work directly with experienced engineers and founders; accelerate your technical and leadership skills.
- Innovation: Build AI-driven systems at the intersection of structural engineering, climate science, and finance.
- Mission: Protect communities and businesses from disaster impacts.
From Pear VC's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Product Engineer (Backend) - Resiquant AI role at Pear VC?
The Product Engineer (Backend) - Resiquant AI posting at Pear VC states compensation of $1 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Pear VC's official career site.
Where is the Product Engineer (Backend) - Resiquant AI job at Pear VC located?
This Product Engineer (Backend) - Resiquant AI position at Pear VC is located in San Francisco, CA (On-site). Always check Pear VC's application page for specific state eligibility or relocation policies.
What qualifications are required for Product Engineer (Backend) - Resiquant AI at Pear VC?
For the Product Engineer (Backend) - Resiquant AI role, Pear VC highlights a bachelor's degree; experience with Python, databases, AWS, GCP, model APIs, retrieval pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Product Engineer (Backend) - Resiquant AI position at Pear VC?
This listing links directly to Pear VC's Ashby application page. You can apply directly on Pear VC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.