11 months ago
San Francisco, CA, USAEntry Level / Mid Level
Responsibilities
- Own backend features end-to-end from design through 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, including API design, retrieval-backed features, and monitoring
- Ensure observability, reliability, and performance across systems
- Collaborate with founders, engineers, and customers to iterate on impactful features
Requirements
- 0–5 years of engineering experience, with 1–3 years ideal; exceptional new graduates are welcome
- BS in Computer Science or equivalent
- Proficiency with Python, databases, and cloud platforms such as AWS or GCP
- Experience shipping AI-assisted or data-intensive services, including model APIs or retrieval pipelines
- Proficiency with modern AI tools for coding and productivity
- PostgreSQL schema design and migration experience is nice to have
- Familiarity with observability and performance tuning is nice to have
- Experience with CI/CD pipelines and deployment automation is nice to have
Benefits
- Full medical, dental, and vision benefits
- 401(k) with company match
- Daily lunch and commute support in the San Francisco office
- Significant equity
- Work directly with experienced engineers and founders
- Access to cutting-edge AI and research
Tech Stack
Categories
About Pear VC
We’re specialists in pre-seed and seed. The startups we back go far. Best-in-class founders do not come around every day. When they do, we jump at the opportunity to work together. Our approach is to work with just a small number of best-in-class founders so we can dig in and go deep.