COO & Co-founder - Chainlabs (Crypto AML Data & Analytics)

Chainlabs is a data mining and analytics startup that sells data labels to the crypto ecosystem. We help other companies know which organization owns which wallet on the blockchain. We are the largest labels database provider in the space, having mapped over 2500 organizations on the blockchain including exchanges, darknet markets and more. Our current clients are anti-money-laundering (AML) service providers and other analytics companies. We are profitable, bootstrapped and revenue of 220% YoY Growth up from 6 figures last year. We ambition to raise VC & build new products using our data labels, ranging from whale alerts, to risk scoring tools, to charts for investors.

About the role:

We are looking for a COO with a strong interest in the crypto and AML ecosystem to take over the operational leadership of our startup. As a COO, you will spearhead current and new product initiatives. You will co-shape the long term vision of the company. The right applicant may earn the position of co-founder

Your responsibilities:

• Work closely with CEO to envision, plan and execute new data analytics products using our Wallet Database
• Ensure high standards within our data operations and alignment with client objectives
• Lead the pace and allocate resources for the data labelling R&D (things like this)
• Coordinate with Data Science and engineering team for client deliveries
• Set challenging and realistic goals for our labelling operations and sales
• Secure partnerships and sales with other cybersecurity and analytics companies
• Progressively take over client relationships and account management from CEO

The right person has:

• Experience in either the 1) cryptocurrency ecosystem ****, or 2) crypto AML / financial cybercrime ecosystem
• Operational leadership experience in a startup environment (technical project / product management, Human and Financial Resource management)
• Engineering Degree, and/or good understanding of relational databases and data analytics
• Professional experience in client-facing roles
• A strong attention to detail, and a process-oriented mindset.
• Bonus: Experience doing exploratory research (R&D, hypothesis testing using data, etc)
• Bonus: Software Project Management experience (managing back and front end engineers)