# Product Engineer (Backend) - Resiquant AI at Pear VC > Onsite · United States · Unspecified · Backend · open. Source: https://alderhq.app/jobs/ashby%3APear-VC%3A560ddf48-6f96-4a9c-855f-992854168db5 (read 2026-11-12). ## Facts (observed) - Company: [Pear VC](https://alderhq.app/companies/pear-vc) - Location text: San Francisco - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco") - Posted: 2025-09-07 (431 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/Pear-VC/560ddf48-6f96-4a9c-855f-992854168db5 - Skills listed (inferred): Python, PostgreSQL, AWS, GCP ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 141): p25 $185k, median $220k, p75 $265k ## Description (the employer's text) ### 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. ### 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. ### 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. ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3APear-VC%3A560ddf48-6f96-4a9c-855f-992854168db5 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.