About Winston Artory Group

WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art tokenization), we combine deep industry expertise with technologies like AI and blockchain to modernize a $2.9 trillion global asset class.

We’re already generating significant revenue and recently raised our Series A from top-tier VCs. Now, we’re building the next-generation platform to unlock liquidity, trust, and intelligence in the art market—and we’re looking for exceptional engineers to help us do it.

Why Join Us

• Meaningful equity and 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

• Backed by top VCs and trusted by leading collectors, advisors, and institutions

About the role

We’re hiring a Senior Data Engineer to architect and scale the systems that power our AI-driven valuation tools, market analytics, and collector insights. You’ll lead development of our data ingestion pipelines, enrichment workflows, and metadata infrastructure—from scraping and parsing messy real-world sources to preparing structured datasets that feed public indecies, machine learning models and collector-facing tools.

This is a high-ownership role for someone who thrives at the intersection of data engineering, AI integration, and real-world asset intelligence. You’ll work closely with backend engineers, domain experts, and product leadership to turn fragmented data into a competitive advantage.

What you'll do

• Design and operate scalable data ingestion and web scraping systems

• Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sources

• Develop systems to support LLM- and ML-based document parsing, OCR, and classification

• Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses

• Operationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handling

• Integrate output with backend APIs, valuation services, and frontend analytics dashboards

• Collaborate across engineering and product to ship reliable, intelligent features quickly

• Contribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observability

Qualifications

• Have a B.S. in Computer Science or equivalent with 5+ years of experience building data platforms in production environments, ideally in startup or fast-moving contexts

• Are 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

• Care about clean architecture, versioning, reproducibility, and quality in data systems

• Bonus: Experience with art, collectibles, or other fragmented asset classes where clean data is rare but valuable

Pay ranges at WAG are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee’s job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the range in order to provide the opportunity to reflect performance-based increases over time.

In addition to base salaries, employees at WAG may also be eligible for equity (stock) based compensation and/or variable pay programs based on performance relative to goals and targets.

We offer great benefits, including:

A Welcoming Team with Work-Life Balance

• A friendly, international, agile team that works together with cutting-edge technologies

• Generous paid time off, including vacation, sick days, and holidays

• Paid parental leave (maternity, paternity, adoption, leave)

• Paid volunteer days to encourage community involvement

• Collaborative, innovative, and inclusive company culture

• Employee recognition and appreciation programs

• Team-building activities and social events

• Transparent communication and feedback channels

Competitive Compensation

• Competitive salary based on experience and skills

• Discretionary performance-based bonuses

• Equity option grants of company shares, offering alignment with company success

Health, Wellness, and Benefits

Comprehensive health insurance (medical, dental, and vision) with employees covered 100%On-site fitness center and saunaGenerous leave policies, including bereavement and reproductive loss leaveOpportunities for continuous learning and trainingMentorship programs and leadership development initiatives401(k)Life insurance and disability coverageSnacks in the office

The pay range for this role is:150,000 - 200,000 USD per year (US)