Architect and scale the systems that power AI-driven valuation tools, market analytics, and collector insights.
Lead development of data ingestion pipelines, enrichment workflows, and metadata infrastructure.
Work closely with backend engineers, domain experts, and product leadership to turn fragmented data into a competitive advantage.

B.S in Computer Science or equivalent
7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company.
Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale.
Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal
Have designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategies
Understand tradeoffs between ETL and ELT, and have hands-on experience with data lakes and data warehouses
Have integrated structured and unstructured sources, and enjoy resolving messy edge cases that come with real-world data
Have worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extraction
Thrive in AI-native environments and enjoy building tools that support intelligent automation and analytics
Experience building products from scratch.
Care about clean architecture, versioning, reproducibility, and quality in data systems
Experience with GCP, Node.js/JavaScript and Vercel

Meaningful equity
Competitive compensation
High-impact role at a growing company with revenue, funding, and a compelling vision
Build at the intersection of art, fintech AI, and blockchain
A collaborative, pragmatic team that values speed, clarity, and technical quality
Remote-flexible culture with an HQ in NYC
Backend by top VCs and trusted by leading collectors, advisors, and institutions

Staff Data Engineer

Key skills