Kharon is the System of Record for Risk Intelligence

Kharon helps leading organizations identify sanctions and compliance risks critical to managing financial crimes, supply chain exposure, export controls, investment risk, and more. Built on a knowledge graph developed over more than a decade of expert research, our solutions provide the critical insights required for a comprehensive view of illicit finance and other commercial threats.

What we do
Kharon provides the risk data and insights required by global organizations to underpin their risk management systems and investigative workflows. Powered by the Kharon Core — a verified intelligence layer comprising the most comprehensive data available on networks targeted by sanctions and other economic restrictions — Kharon combines unparalleled subject matter expertise with data science and AI to produce the definitive map of risk networks wherever they operate — across jurisdictions, languages, ownership structures, trade relationships, and hidden connections.

We track connections to high-risk actors — including sanctioned parties, trade-restricted entities, forced labor supply chains, narco-traffickers, and military end users — surfacing risk that standard screening misses.

This isn't a commercial role. It isn't an engineering role. It's something new. You'll work across the business — with marketing, sales, product, research, partnerships, and external engagement — to identify where AI can create leverage and then build the workflows to make it happen. Some days, that looks like automating a manual process that's eating hours. Other days it's designing how Kharon shows up in a world where AI agents are making buying decisions. Most days it's both.

You will work with, and touch, every part of the organization. If you need a clean job description with tidy boundaries, this isn't the role. You will need to be creative, inquisitive and very comfortable working with data. Maybe you have a Masters in Data Science, or you have experience working on the data side of a marketing team. No matter what, you thrive in ambiguity and get energy from building things that didn't exist yesterday.

Responsibilities:

Identify high-impact problems across the business and build AI-powered workflows to solve them — whether that's streamlining operations, accelerating research, improving how we reach prospects, or something no one's thought of yet.

Work directly with AI agents as part of your daily toolkit — directing, refining, and scaling their output across multiple business functions.

Collaborate cross-functionally with marketing, product, sales, research, and partnerships to turn ideas into systems and systems into results.

Design and run experiments. Test new tools, new approaches, new channels. Measure what works. Kill what doesn't.

Help shape how Kharon operates in the emerging AI-native landscape — where agents discover, evaluate, and recommend solutions alongside humans.

Build processes that are repeatable and scalable, not one-off heroics.

Translate between technical and non-technical teams — you don't need to write production code, but you need to understand how systems connect and where automation creates value.

Qualifications:

Master's degree in Data Science, or a background in data-driven Marketing roles highly preferred.

1-3 years of experience in a role where you combined strategic thinking with hands-on execution — operations, growth, business strategy, product, consulting, or something that doesn't fit neatly into a category.

Demonstrated fluency with AI tools — not just using them, but building workflows, automating processes, and thinking critically about where AI creates real leverage versus noise.

Strong analytical instincts. You make decisions based on evidence, not vibes.

Excellent communication. You can explain complex ideas simply and work effectively with people across very different disciplines.

Curiosity about global security, compliance, financial crime, or international trade — or a genuine willingness to go deep.

Comfort with ambiguity. This role is being defined in real time. You'll help shape it.

A bias toward action. You'd rather build something imperfect today than plan something perfect next quarter.

Understanding of how AI is changing discovery, search, and decision-making for enterprises.

Nice To Haves:

Experience building or managing AI agent workflows, prompt engineering, or automation platforms.

Background in B2B SaaS, fintech, regtech, or compliance.

Familiarity with CRM/marketing automation systems and how business pipelines connect.

Experience working across functions — not just within a single team or department.