System Analyst; AI

Tangem is a high-tech company in the blockchain sector founded in 2017, headquartered in Zug, Switzerland, with branches in North America, Eastern Europe, and APAC.

Tangem started with the idea of bringing digital assets to the masses using a unique combination of a smartcard-based hardware wallet and mobile applications. Company owns and promotes the technology of hardware cold-wallet for digital assets with secure and simple UX in 220 countries today. Our customers enjoy setup time within 1 minute with the ultimate security level for digital assets on their wallet.

Tangem solutions offer multi-support of a growing number of thousands of tokens by a single wallet. SBI Crypto Investment Ltd., the digital asset venture investment company wholly owned by SBI Holdings Inc., has invested $15 million into Tangem in 2019 for mass adoption of blockchain technology.

Design and specify internal services for AI agents and the tooling that powers the organization’s internal AI transformation. This is primarily a technical/systems analysis role — translating business needs into clear specifications for AI-agent services, internal automation tools, and AI-enabled workflows — combined with a readiness to take on project coordination and delivery-management tasks when needed. The role also involves owning multiple parallel initiatives across different teams, ensuring alignment with business goals, timelines, and technical constraints.

Current Technology Stack: Node.js, Nest.js, JS/TS, TypeORM, PostgreSQL, AWS, React, Next.js, SCSS, Java, plus LLM/agent frameworks (e.g. MCP), prompt/agent orchestration tools, vector databases, Lang Chain or other agent SDKs, internal automation and workflow platforms, AI coding assistants (Claude Code, Cursor, etc.)

• Translate business and product needs into system specifications for AI-agent services and internal tooling;
• Design end-to-end logic for AI-agent services, including integrations with internal systems and third-party AI/LLM platforms;
• Define API interactions, data structures, and integration requirements for AI-agent and automation services;
• Document workflows, data flows, and system behavior using structured methodologies and diagramming tools;
• Support engineering teams during implementation; clarify requirements and validate delivered functionality against intent, ensuring system behavior matches business requirements and defined specifications;
• Analyze existing internal processes and propose where AI agents/automation can increase efficiency, reliability, and scalability;
• Assist in defining data requirements and basic SQL/analytical queries to support reporting on AI initiative outcomes;
• Plan and track delivery of AI-agent services and AI-transformation initiatives; manage timelines, dependencies, and risks;
• Own multiple parallel initiatives across different teams, ensuring alignment with business goals, timelines, and technical constraints;
• Manage several concurrent work streams (features, integrations, internal tools), maintaining clear prioritization, dependency tracking, and risk visibility;
• Coordinate cross-functional efforts between engineering, product, data, and operations to roll out AI tools internally, acting as a coordination point that consolidates stakeholder inputs into structured, actionable requirements;
• Decompose high-level business needs into well-defined artifacts: system specifications, process flows, API contracts, and task breakdowns for engineering teams;
• Monitor execution and deadlines across streams, proactively identifying bottlenecks, resolving blockers, and adjusting plans to maintain delivery commitments;
• Implement structured tracking of initiatives (roadmaps, timelines, dependencies, risks), ensuring transparency and predictability of delivery;
• Run status reporting and stakeholder communication to keep initiatives on track.

• Strong experience as a System Analyst, Technical Product Specialist, or similar technical role;
• Strong system analysis skills including requirements definition, process mapping, and system/architecture understanding;
• Experience specifying integrations with APIs and third-party or…