Tether.to

Backend Engineer

• Contribute to the creation of groundbreaking projects utilizing agile methodologies and innovative technologies.
• Ensure backend services remain effortlessly responsive and real-time.
• Uphold the highest security standards in all backend processes and services.

Backend Engineer – Wallets

• Contribute to the creation of groundbreaking projects, utilizing agile methodologies and innovative technologies to create incredible platforms.
• Ensure backend services remain effortlessly responsive and real-time, accommodating the platform's continual growth and evolving user base.
• Uphold the highest security standards in all backend processes and services to safeguard our users' assets and data.

• Innovative Solutions: Contribute to the creation of groundbreaking projects, utilizing agile methodologies and innovative technologies to create incredible platforms.
• Scalability: Ensure backend services remain effortlessly responsive and real-time, accommodating the platform's continual growth and evolving user base.
• Security: Uphold the highest security standards in all backend processes and services to safeguard our users' assets and data.

Technical Product Manager

• Define and champion a long-term vision for Local AI apps
• Develop and manage comprehensive product roadmaps, prioritizing features and enhancements
• Engage with users, developers, and researchers to identify market opportunities
• Lead the ideation, prioritization, and definition of features for Local AI apps
• Create comprehensive, interactive prototypes/mockups to communicate design concepts
• Build relationships with executives, engineers, partners, and industry influencers
• Define and monitor KPIs related to app engagement, user satisfaction, privacy compliance, and performance efficiency

• Define and champion a long-term vision for Local AI apps, aligning with company objectives, user privacy ethos, and industry trends in on-device AI to maintain a competitive edge.
• Develop and manage comprehensive product roadmaps, prioritizing features and enhancements, partnering with engineering, design, and cross-functional teams for successful launches.
• Engage with users, developers, and researchers to identify market opportunities, maximize value, and deliver seamless, intuitive experiences in local AI environments.
• Lead the ideation, prioritization, and definition of features for Local AI apps, ensuring they leverage on-device processing for efficiency, security, and personalization.
• Create comprehensive, interactive prototypes/mockups to communicate design concepts, enabling designers to refine and implement polished UX/UI.
• Build relationships with executives, engineers, partners, and industry influencers to foster strategic alliances, gather feedback, and advocate for the apps.
• Autonomy to build and own launch plans, collaborating with expansion and marketing teams to operationalize strategies that position the Local AI apps as valuable solutions in P2P and fintech ecosystems.
• Define and monitor KPIs related to app engagement, user satisfaction, privacy compliance, and performance efficiency to ensure optimized product success.

Crypto

• Support the Head of Tokenization Expansion in managing active client and partner projects from onboarding to delivery.
• Act as an Account Manager for assigned clients, ensuring consistent communication, alignment of expectations, and timely follow-up on all requests.
• Coordinate communication and execution between clients, product, and tech teams.
• Manage relationships with ecosystem partners.
• Conduct research, prepare memos, and synthesize insights for business and product decisions.
• Track project milestones, maintain accurate reporting, and ensure timely delivery.
• Assist in drafting client proposals, commercial documents, and presentations.
• Help structure internal workflows and process improvements to enhance scalability.
• Support the functional development of the Hadron platform according to client and market needs.

Expansion Manager – Tokenization

Compliance

• Support Data & Payments and Compliance teams with operational and analytical tasks.
• Assist in Transaction Monitoring (TM), KYT, and Travel Rule processes.
• Support Acquire & Redeem payment processing activities.
• Perform basic case reviews and data validation.
• Maintain accurate case files and documentation.
• Support alert triage and escalation processes.
• Assist in internal data requests and reporting.
• Support client and banking partner communications.
• Follow documented procedures and workflows.
• Contribute to internal projects and process improvement initiatives.
• Develop AML, blockchain, and investigative knowledge.
• Escalate issues, risks, and anomalies to senior team members.
• Maintain data accuracy and operational integrity.
• Other duties as assigned by senior team members

Data and Payments Compliance Analyst

• Support Data & Payments and Compliance teams with operational and analytical tasks.
• Assist in Transaction Monitoring (TM), KYT, and Travel Rule processes.
• Support Acquire & Redeem payment processing activities.
• Perform basic case reviews and data validation.
• Maintain accurate case files and documentation.
• Support alert triage and escalation processes.
• Assist in internal data requests and reporting.
• Support client and banking partner communications.
• Follow documented procedures and workflows.
• Contribute to internal projects and process improvement initiatives.
• Develop AML, blockchain, and investigative knowledge.
• Escalate issues, risks, and anomalies to senior team members.
• Maintain data accuracy and operational integrity.

Attorney

• Serve as the primary point of contact for law enforcement, regulators, and government authorities on asset recovery matters, coordinating communications and supporting negotiations.
• Draft, review, and manage routine indemnity agreements, correspondence, and memoranda under Legal oversight, ensuring compliance with cross-border and internal requirements.
• Perform detailed legal and compliance reviews, evaluating cross-jurisdictional implications, analyzing findings from on-chain investigations, and identifying any potential operational risks.
• Advise internal teams on compliance obligations and risk mitigation, escalating complex matters to Legal and senior management as appropriate.
• Mentor junior analysts, fostering best practices in documentation, stakeholder engagement, and adherence to compliance standards.

Legal and Compliance Analyst

Artificial Intelligence

• Define and lead the AI strategy for MOS & MDK with a focus on operational efficiency and measurable business outcomes
• Translate operational challenges into data and optimization problems that AI models can solve
• Establish best-practice frameworks for scalable, production-ready AI systems
• Design a standardized data baseline / schema for all mining-site telemetry and events
• Ensure data is structured, normalized, labelled and accessible for AI/ML use cases
• Work with backend engineers to evolve the data pipeline and integration standards
• Build and deploy ML/AI and optimization models such as performance optimization, anomaly detection, predictive failure & maintenance, energy-efficiency insights, operational automation recommendations
• Continuously evaluate and improve model performance in production
• Work with MOS & MDK engineering teams to embed AI models into platform workflows and APIs
• Ensure models are efficient, reliable, explainable, and maintainable
• Collaborate with site-operations teams to validate results and gather feedback
• Align with leadership on AI roadmap, priorities, impact tracking, and KPIs
• Document systems, architecture, and modelling assumptions clearly
• Promote a data-driven, efficiency-first culture within the Mining Software team
• Stay updated on AI, optimization and industrial analytics trends

AI & Optimization Engineer

• Define and lead the AI strategy for MOS & MDK with a focus on operational efficiency and measurable business outcomes.
• Translate operational challenges into data and optimization problems that AI models can solve.
• Establish best-practice frameworks for scalable, production-ready AI systems.
• Design a standardized data baseline/schema for all mining-site telemetry and events.
• Ensure data is structured, normalized, labelled and accessible for AI/ML use cases.
• Work with backend engineers to evolve the data pipeline and integration standards.
• Build and deploy ML/AI and optimization models such as: performance optimization anomaly detection predictive failure & maintenance energy-efficiency insights operational automation recommendations.
• Continuously evaluate and improve model performance in production.
• Work with MOS & MDK engineering teams to embed AI models into platform workflows and APIs.
• Collaborate with site-operations teams to validate results and gather feedback.
• Align with leadership on AI roadmap, priorities, impact tracking, and KPIs.

• Define and lead the AI strategy for MOS & MDK with a focus on operational efficiency and measurable business outcomes.
• Translate operational challenges into data and optimization problems that AI models can solve.
• Establish best-practice frameworks for scalable, production-ready AI systems.
• Design a standardized data baseline / schema for all mining-site telemetry and events.
• Ensure data is structured, normalized, labelled and accessible for AI/ML use cases.
• Work with backend engineers to evolve the data pipeline and integration standards.
• Build and deploy ML/AI and optimization models such as: performance optimization anomaly detection predictive failure & maintenance energy-efficiency insights operational automation recommendations.
• Continuously evaluate and improve model performance in production.
• Work with MOS & MDK engineering teams to embed AI models into platform workflows and APIs.
• Ensure models are efficient, reliable, explainable, and maintainable.
• Collaborate with site-operations teams to validate results and gather feedback.
• Align with leadership on AI roadmap, priorities, impact tracking, and KPIs.
• Document systems, architecture, and modelling assumptions clearly.
• Promote a data-driven, efficiency-first culture within the Mining Software team.
• Stay updated on AI, optimization and industrial analytics trends.

• Define and lead the AI strategy for MOS & MDK with a focus on operational efficiency and measurable business outcomes
• Translate operational challenges into data and optimization problems that AI models can solve
• Establish best-practice frameworks for scalable, production-ready AI systems
• Design a standardized data baseline/schema for all mining-site telemetry and events
• Ensure data is structured, normalized, labelled and accessible for AI/ML use cases
• Work with backend engineers to evolve the data pipeline and integration standards
• Build and deploy ML/AI and optimization models such as: performance optimization anomaly detection predictive failure & maintenance energy-efficiency insights operational automation recommendations
• Continuously evaluate and improve model performance in production
• Work with MOS & MDK engineering teams to embed AI models into platform workflows and APIs
• Collaborate with site-operations teams to validate results and gather feedback
• Align with leadership on AI roadmap, priorities, impact tracking, and KPIs
• Document systems, architecture, and modelling assumptions clearly
• Promote a data-driven, efficiency-first culture within the Mining Software team
• Stay updated on AI, optimization and industrial analytics trends.