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Remote Geopolitical Intelligence Jobs (NOW HIRING)

Interos Inc.

Lead Machine Learning Engineer

$200K - $240K/yr

... intelligence. Our Resilience platform, powered by an 11B buyer-supplier knowledge graph and 250M ... Geopolitical, and Finance, is run by Fortune 1000 market leaders and trusted by major Federal ...

Flashpoint.io, Inc

Senior Demand Generation Manager

$125K - $135K/yr

Our solutions span cyber threat intelligence, vulnerability intelligence, geopolitical risk ... Flashpoint is looking for a Senior Demand Generation Manager to join our Marketing team, remote in ...

Pano

Strategic Sourcing Manager

$150K - $200K/yr

About Pano: We are a 175+ person growth-stage hybrid-remote start-up, headquartered in San ... We are the leader in early wildfire detection and intelligence, helping fire professionals respond ...

Medivative Technologies

Sourcing Manager

Kimball, NE · Remote

... for remote and on-premise support as needed. Opportunities exist for domestic and international ... Advance cost modeling and market intelligence (cost drivers, should-cost, market trends) to ...

Veeco

Category Manager (Spector) (19891)

San Jose, CA · On-site +1

Remote work within the U.S. may be considered for exceptional candidates. Responsibilities ... Market Intelligence & Strategy Development * Build deep understanding of global supply markets ...

Sourceability

Senior Purchasing Manager

Austin, TX · On-site +1

... remote/hybrid across United States and Mexico. Join the energy and come, be part of the momentum ... Develop risk mitigation strategies to address allocation challenges, geopolitical risks, and ...

Sourceability

Senior Purchasing Manager

Mexico, ME · On-site +1

... remote/hybrid across United States and Mexico. Join the energy and come, be part of the momentum ... Develop risk mitigation strategies to address allocation challenges, geopolitical risks, and ...

Helsing

Software Engineer, Rust

Washington, DC · On-site +1

Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend ... geopolitical concerns * The work is unique. We operate in a domain that has highly unusual ...

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How much do remote geopolitical intelligence jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for remote geopolitical intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.
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Remote Geopolitical Intelligence jobs near you
Infographic showing various Remote Geopolitical Intelligence job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Interos Inc.

Remote

$200K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Key responsibilities

  • Develop AI-powered agents that integrate into the interos.ai product experience.

  • Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.

  • Work with product, engineering, and data science teams to design and implement AI-based automation solutions.

Job description

Role: Lead Machine Learning Engineer
About interos.ai:
interos.ai is the standard for supply chain risk intelligence. Our Resilience platform, powered by an 11B buyer-supplier knowledge graph and 250M+ businesses scored across six risk factors, Cyber, Catastrophic, ESG, Restrictions, Geopolitical, and Finance, is run by Fortune 1000 market leaders and trusted by major Federal departments. As the only AI-powered SaaS platform that comprehensively assesses risk across these domains, interos.ai helps customers understand their exposure through our proprietary iScore® and assists both real-time and anticipatory opportunities to mitigate supply chain risk.
Our second-generation platform, iQ, is the industry's first fully productized predictive analytics platform for supply chain risk. iQ orchestrates ERP and Resilience platform insights to deliver AI-driven suggestions for supply chain risk management, helping organizations quantify financial exposure, stay ahead of geopolitical volatility and shifting tariffs, and communicate risk in the language CFOs use every day.
We are not afraid to challenge conventions, explore new ideas, and iterate quickly. Our work is meaningful, the problems are complex, and the pace requires focus, curiosity, and adaptability.
We are looking for people who are humble in how they collaborate, hungry to succeed, and smart in how they work. People who thrive here are energized by broad exposure, comfortable navigating ambiguity, open to feedback, proactive in taking ownership, and motivated by making a real impact.
What you will do:
  • Develop AI-powered agents that integrate deeply into interos.ai product experience
  • Understanding of AI Lifecycle: Comprehensive knowledge of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation
  • Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance
  • Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
  • Define best practices for agent design, security, and governance in AI-driven enterprise applications.
  • Work with product, engineering, and data science teams to design and implement AI-based automation solutions.
  • Identify new opportunities to embed AI into the interos.ai platform.
  • Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

What you bring:
  • 8+ years of experience in Software development.
  • 5+ years of experience in AI, machine learning, with a focus on enterprise applications.
  • Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph)
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • Proficiency in Python, cloud services (AWS), and AI model deployment.
  • Strong problem-solving skills and the ability to translate business needs into AI-powered solutions.
  • Experience in data privacy, security, and compliance for AI in enterprise environments
  • Experience in Data lakes such as Snowflake and Databricks.

Bonus points for:
  • Masters/Doctorate degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
  • Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring.
  • Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs.
  • Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement

What We Offer:
  • Comprehensive health, dental amp; vision insurance
  • 401(k) with employer match
  • Flexible Time Off (FTO) + 10 paid holidays
  • Wellness perks including onsite gym + Peloton room (HQ)
  • Career growth opportunities in a fast-scaling company
  • Employee referral bonuses and recognition programs
Compensation
  • Base Salary Range: $200,000 - $240,000 USD (depending on experience and location)
  • Variable Compensation: Performance-based annual bonus
  • Equity: Stock options included as part of total compensation package
We believe in rewarding great work with competitive, transparent compensation. Final offer will be based on skills, experience, and geographic location.
Work Environment, Location and Travel:
This is a remote-first role open to candidates legally authorized to work in the United States. Employees may optionally work from our Arlington, VA HQ. This position may require up to minimal 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 amp; 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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