Pear VC

Compensation

Full Description

About the role You’ll own the foundation of Known’s product infrastructure across mobile, web, and agentic AI systems. From data pipelines to cloud infra, you’ll design, build, and scale the platform that powers matching, voice, and scheduling features. Responsibilities Design and manage AWS-based infrastructure, codified in Terraform. Build and maintain data ingestion/orchestration pipelines (Airflow, Dagster, or equivalent). Administer and optimize PostgreSQL (with pgvector) and data warehouse environments. Support data modeling and schema design for user profiles, matching, and conversation logs. Collaborate with AI/ML engineers to productionize models (training, inference, monitoring). Implement observability (logging, metrics, alerts) across the stack. Requirements 4+ years in platform, infra, or data engineering. Proficiency in Python, Bash, YAML; experience with containerization (Docker, Kubernetes). Strong knowledge of cloud architecture, data pipelines, and infra-as-code. Exposure to ML/AI workflows and feature stores a plus. Example Projects Stand up a data lake + warehouse for storing structured behavioral signals. Build ingestion from app + third-party APIs (e.g. Stripe, OpenAI, Twilio). Scale infra for real-time voice agent calls and user profile matching.