9 months ago
Base Salary
$180k - $210k/yr
Responsibilities
- Design the core EAV data model and schema platform for customer instances.
- Build a Git-style version-control and migration engine for schema changes.
- Engineer AI-assisted tooling for proposing and validating customer schemas.
- Scale the data warehouse for high-volume analytics and automation workloads.
- Create declarative APIs and SDKs for business processes as code.
- Deliver end-to-end observability and search across operational data.
- Build enterprise guard rails to detect anomalous behavior.
- Mentor team members and shape engineering culture.
Requirements
- Expertise in building large scale ETL on databases like Postgres and Elasticsearch.
- Experience using cloud services to build and deploy reliable web applications.
- Ability to work with complex graph-based architectures.
- Strong communication skills for collaboration with technical and non-technical teammates.
- Proven ownership of problems and ability to push work forward independently.
- Experience in making sound technical decisions and contributing to complex discussions.
- Skill in breaking down ambiguous problems and designing practical solutions.
Benefits
- Competitive salary and meaningful equity.
- 100% coverage for individuals' premium medical, dental, and vision insurance.
- 401(k) with immediate eligibility.
- In-office lunch 5 days a week and dinner when needed.
- Flexible/unlimited PTO.
- Commuter and equipment stipends.
- Wellness and fitness stipend.
- Generous parental leave.
- Relocation assistance available.
- In-office culture in San Francisco.