Kraken Digital Asset Exchange

HQ
Cheyenne
2,900 Total Employees
Year Founded: 2011

Kraken Digital Asset Exchange Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers mental health benefits

Offers health insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

16 Hours AgoSaved
Remote
United States
Blockchain • Financial Services • Cryptocurrency • Web3
Lead Kraken Pro’s social presence across X, Telegram, and other platforms. Create platform-native content, respond rapidly to trends, engage the trading community, manage the content calendar, translate product updates into compelling narratives, and track performance to improve results. The role requires strong writing, rapid execution, visual content skills, analytical thinking, and collaboration with Legal and Communications to ensure accurate, compliant messaging.
Blockchain • Financial Services • Cryptocurrency • Web3
Leads and develops a team building growth-critical platforms, AI-driven tools, automations, and infrastructure. Collaborates with Product and Design, guides architecture and implementation, manages execution, improves team processes, and partners with engineering leaders. The manager remains hands-on, writing production-grade backend code, using AI tools, and promoting quality, reliability, accountability, and team autonomy across distributed teams.
Blockchain • Financial Services • Cryptocurrency • Web3
Build and operate Kraken’s internal AI platform, including governed integrations, authentication, identity controls, spend management, provisioning, evaluation tooling, and model lifecycle administration. Develop reusable agent and prompt infrastructure, integrate LLM and SaaS APIs, maintain runbooks, support enterprise users, and lead technical enablement. The role also implements data-handling and retention controls, manages vendors, and improves reliability, automation, documentation, and regulatory readiness across the AI estate.