System Analyst (AI)

Tangem AG; Zug; Vor Ort; CHF 101.729 - 157.217; Vollzeit

Benefits dieser Stelle

Remote work from anywhere

Unlimited vacation

Birthday presents

Tech device stipend

Zusammenfassung

Tangem is a high-tech company in the blockchain sector, founded in 2017 and headquartered in Zug, Switzerland. We are building AI-enabled workflows and internal tooling to empower the organization’s transformation.

As a System Analyst/Technical Product Specialist, you will translate business needs into system specifications for AI-agent services, design end-to-end logic, define API contracts, and coordinate cross-functional delivery across engineering, product, data and operations.

Qualifikationen

• Strong system analysis and requirements definition skills.
• Experience specifying integrations with APIs and internal services.
• Ability to document complex business logic for engineering teams.
• Familiarity with AI/LLM tools and agent frameworks, or ability to learn quickly.
• Knowledge of vector databases and SQL basics.
• Comfort with project/program management and coordinating multiple streams.
• Interest in AI tools and organizational transformation through AI.
• Excellent cross-team coordination abilities.

Aufgaben

• 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 platforms.
• Define API interactions, data structures, and integration requirements for AI-agent and automation services.
• Document workflows and data flows using structured methodologies and diagrams.
• Support engineering teams, clarify requirements, and validate delivery against intent.
• Analyze existing processes and propose AI/automation improvements for efficiency and scalability.
• Plan, track delivery of AI initiatives, manage timelines, dependencies, and risks.
• Coordinate cross-functional efforts between engineering, product, data, and operations to roll out AI tools.
• Decompose high-level needs into artifacts: specifications, process flows, API contracts.
• Monitor execution, identify bottlenecks, resolve blockers, and adjust plans.

Kenntnisse

System analysis

Requirements definition

API integrations

Documentation

AI/LLM tools

Vector databases

SQL basics

Project management

Cross-team coordination

Tools

LangChain

Agent SDKs

PostgreSQL

Jobbeschreibung

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.

About the Role

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, LangChain or other agent SDKs, internal automation and workflow platforms, AI coding assistants (Claude Code, Cursor, etc.)

Responsibilities

• 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 workstreams (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.

Requirements

• 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 internal services;
• Ability to document complex business logic and system behavior clearly for engineering teams;
• Familiarity with AI/LLM tools and agent frameworks, or strong interest and ability to learn them quickly;
• Vector databases basics knowledge;
• Working knowledge of SQL and ability to perform basic data queries;
• Comfortable taking on project/program management tasks — planning, prioritization, tracking dependencies and risks — alongside analysis work;
• Strong interest in AI tools, automation, and organizational transformation through AI;
• Strong cross-team coordination skills.

Nice to have

• Experience with LangChain or other agent SDKs;
• Experience coordinating cross-functional technical initiatives with multiple stakeholders.

What We Offer

• Stability, development, participation in the future unicorn's growth;
• Remote work from anywhere in the world, with a schedule aligned with GMT+3;
• Competitive salary in EUR/USDT;
• Unlimited vacation;
• Birthday presents;
• Compensation for the purchase of necessary technical devices for the work;