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About the Role
We are building the world model for a resilient global economy by translating the physical world into financial impact, starting with asset-level intelligence for financial markets. This role is for one of the first members of our technical staff, responsible for ensuring the quality and accuracy of our shipped product.
Responsibilities
- Manage customer pilots and custom analyses end-to-end on our pipeline, including scoping, data processing, output production, review, and delivery.
- Ensure data quality by developing automated tests to replace manual QA processes and establishing quality standards.
- Prepare customer-ready data, including sample datasets and Snowflake deliveries, ensuring speed and accuracy.
- Manage the feedback loop by ensuring identified issues are addressed in the pipeline to prevent recurrence.
- Contribute to defining the specifics of pilot management, data quality, customer-ready data, and the feedback loop.
Requirements
- 1-3 years of experience writing production Python and SQL in data engineering, analytics engineering, data science, or a technical analyst role.
- Strong attention to detail is essential.
- Ability to independently manage tasks from initiation to validated output.
- Curiosity about business and market operations, with a willingness to learn.
- High agency and low ego, prioritizing problem-solving over blame.
- Desire to build and grow with the company long-term.
Skills
- Python
- SQL
Location
- San Francisco
Work Type
- Onsite
Experience Level
- 1-3 years
Salary/Compensations
- $120K–$150K
Benefits
- 0.1–0.3% founding-level equity
- Health-insurance reimbursement (QSEHRA)
- Commitment to grow benefits with raises and milestones
- Awesome office space
About the Company
- We are building the world model for a resilient global economy by mapping physical assets, modeling their production and earnings, and connecting them to company financials and market impacts.
- Our mission is to make the global economy more resilient.
- We provide asset-level intelligence for financial markets, including physical risk analysis (e.g., drought, heat, flooding) translated into Earnings-at-Risk.
- We are expanding to include supply-chain dependencies and geopolitical concentration.
- We are already working with 3 of the world's top asset managers (over $30 trillion AUM).
- Our product is live and gaining traction with asset managers, hedge funds, and private equity firms.
- The founding team is actively involved in product development and customer-facing operations.