Role: Lead Computational Climate Scientist

About interos.ai: interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier — enabling faster, data-driven threat mitigation and resilience at global scale.
As the first and only automated supplier intelligence platform, interos.ai gives organizations real-time visibility into extended supply chains to protect against regulatory exposure, unethical labor, cyber threats, and systemic vulnerabilities — all under a single pane of glass.
With customers across the commercial, government, and public sectors — including Global Fortune 500 enterprises and members of the Five Eyes nations — interos.ai offers a unique opportunity to help shape an early, fast-growing market that’s transforming global security and economic resilience.

The Opportunity: Are you constantly exploring more data-driven and rigorous approaches for analyzing global climatological, societal, technological, and economic disruptions? Do you find yourself transforming complex catastrophic risk models into insights that inform decisions across public and private sector environments? Are you looking to apply these capabilities in a high-growth, early-stage company focused on supply chain risk?
If so, Interos is seeking a Lead Computational Climate Scientist to drive the next evolution of our climate- and disaster-focused modeling capabilities.
In this role, you will serve as the core scientific lead for catastrophic risk modeling — overseeing theory- and data-driven quantitative models that assess the impacts of climate change, natural disasters, and industrial and technological disruptions on global supply chains. You will bring both scientific rigor and product-minded execution — building computational models, validating diverse academic and industry frameworks, and assessing applicability to real-world use cases.
As part of Interos’ Methodology organization, you will guide model-driven projects from research through full productization. You will collaborate closely with engineering and product teams, operationalize complex models for private- and public-sector customers, and help shape how the Interos platform evaluates climate-driven supply chain risk.

What You Will Do:

What You Bring:

Bonus Points For:

What We Offer:

Compensation:
Base Salary Range: $150,000 – $180,000 USD (depending on experience and location)
Variable Compensation: Performance-based annual bonus
Equity: Stock options included as part of the total compensation package

We believe in rewarding great work with competitive, transparent compensation. Final offers are based on skills, experience, and geographic location.

Work Environment, Location & Travel:
This is a remote-first role open to candidates legally authorized to work in the United States. This position may require travel.

Equal Opportunity Employer
interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.

Accessibility & Accommodations
We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai

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