GoMining

Artificial Intelligence

• Analyze business processes and identify where AI and automation can create the greatest impact.
• Build and develop the company’s AI transformation strategy.
• Prioritize initiatives based on business impact, implementation speed, and ROI.
• Launch and scale internal AI solutions for HR, marketing, customer support, analytics, operations, and product teams.
• Participate in the creation of AI assistants, knowledge bots, copilots, reporting tools, and other internal systems.
• Coordinate internal teams and external vendors.
• Establish processes, best practices, and standards for using AI across the company.
• Train teams and help increase adoption of AI tools.
• Define KPIs and measure the effectiveness of implemented solutions.
• Regularly prepare recommendations for leadership on new AI and automation opportunities.

AI Transformation Lead

Content Marketing Manager

• Own and maintain the content calendar in alignment with product launches, marketing campaigns, and Web3 trends.
• Execute content strategies developed by the Head of Content Marketing & Communications across blogs, newsletters, social media, and other platforms.
• Track and analyze content performance to generate insights and optimize future efforts.
• Collaborate closely with communications, design, and community teams to ensure brand consistency.
• Monitor emerging trends across crypto and Web3 (Bitcoin mining, NFTs, DeFi, GameFi), and translate them into timely, on-brand content

DevOps Engineer

• Security Integration in CI/CD: Embed security checks, vulnerability scanning, and automated compliance tests into CI/CD pipelines.
• Infrastructure Security: Implement secure cloud and on-premises infrastructure using best practices for access control, encryption, and network segmentation.
• Container & Kubernetes Security: Manage and harden containerized environments, including image scanning, runtime protection, and pod security policies.
• Monitoring & Incident Response: Use observability tools to monitor systems for security threats, respond to incidents, and implement continuous improvements.
• Collaboration & Education: Work closely with developers, SREs, and QA teams to ensure security-first development practices, provide guidance on secure coding, and conduct threat modeling.
• Compliance & Governance: Ensure systems and processes comply with standards like ISO27001, SOC 2, GDPR, NIST, and maintain audit readiness.

DevSecOps Engineer

QA Engineer

• Find, document, and track bugs
• Write test cases, test plans, and checklists
• Ensure optimal test coverage across features and releases
• Join grooming and help with clear task decomposition
• Test mobile apps for iOS and Android
• Work closely with product, design, and engineering

Customer Success Manager

• - Develop and optimize CRM scenarios within the assigned streams.
• - Design omnichannel flows (email, push, in-app).
• - Develop, prioritize, and launch data-driven hypotheses.
• - Run A/B tests with control groups and analyze their impact on key metrics.
• - Segment users based on behavioral events and attributes.
• - Define requirements for events and attributes in collaboration with the product team.
• - Write communication copy; perform email HTML setup when needed.
• - Delegate tasks and ensure quality of execution.
• - Drive CRM channel revenue growth within the assigned scope.

Senior CRM Manager

Business Analyst

• - Clarify and formalize requirements for product and marketing-driven features.
• - Prepare and update functional & technical documentation (specifications, flows, BRDs).
• - Decompose tasks together with the tech lead.
• - Define deadlines and monitor delivery.
• - Track development progress and report on status.
• - Communicate with developers, QA, designers, and product managers to keep tasks aligned.

Project Manager / Business Analyst

Data Analyst

• Analyze marketing and product data to identify trends, patterns, and optimization opportunities.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Build analytical and forecasting models based on product, financial, and behavioral data.
• Work with datasets related to fintech, payments, crypto, and transaction-based systems.
• Analyze financial product performance, including payments, lending, brokerage, or digital asset flows.
• Support analytics for crypto / Web3 products and digital asset ecosystems.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, engineering, and finance teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.