• Design the Attribute-Based Access Control (ABAC) model, including policy attributes (clearance level, nationality, group/role, context), enforcement points, and decision logic • Design the RESTful API architecture, including endpoint structure, request/response contracts, and error handling patterns • Map out query patterns, access flows, and integration touchpoints with external systems (data storage and encryption services provided by partner organisations) • Collaborate with the database consulting engineer on schema design, search strategy, and encryption approach to ensure the API layer aligns with the underlying data model • Contribute to Infrastructure as Code design for deployment (Terraform or similar) • Build a RESTful API layer in Java implementing full catalogue functionality: – CRUD operations for metadata records – Advanced search capability leveraging Atlas Search – ABAC enforcement on all API operations, ensuring search results and data retrieval are filtered by the requestor’s access attributes – Secure storage and retrieval of encrypted key material (shard keys) via CS-FLE • Implement unit tests to validate functional correctness • Build automated data load and stress testing harnesses for the combined API and cluster deployment • Perform integration testing against external partner systems (or appropriate stand-ins) to validate end-to-end data creation and retrieval flows • Produce API documentation and integration guides for consuming systems • Support knowledge transfer and handover activities in the final weeks of the engagement

• Provide exceptional technical support to clients utilizing our suite of products • Troubleshoot and resolve complex technical issues as well as performance optimization • Ensure seamless client experience by resolving issues and supporting ongoing business needs • Collaborate closely with internal teams, including Engineering, Product Management, Global Support, and Professional Services • Identify and escalate recurring issues or patterns to the development teams • Serve as a technical advisor to clients, offering insights and guidance on best practices • Perform performance optimization of Onit’s products and solutions

• Partner Technical Engagement & Solution Architecture • Collaborate directly with GSI/MSP partner product, engineering, and delivery teams to define service offerings built on TeamViewer’s capabilities • Lead service definition and solutioning workshops aligned to partner delivery frameworks • Design scalable architectures, deployment models, and API-based integrations tailored to managed service environments • Support rapid prototyping and MVP build to validate solutions ahead of full rollout • Service Enablement & Operational Readiness • Own technical onboarding for new MSP partners entering the Global MSP Program • Build and deliver hands-on training, architecture guides, playbooks, and reference designs • Guide partners through operational readiness milestones—from technical validation to in-market readiness • Collaborate with TeamViewer’s partner enablement and marketing teams to ensure technical messaging aligns to value • Internal Collaboration & Product Influence • Act as the technical voice of the MSP partner community, translating feedback into actionable insights for Product Management and R&D • Collaborate with internal Specialist Solution Engineering, Product Owners, and Platform Teams to shape feature roadmaps and improve integration pathways • Maintain an active feedback loop between strategic partners and TeamViewer’s internal roadmap

• Evaluate how financial work currently flows across the organization, including close, reconciliations, treasury, reporting, controls validation, and audit preparation. • Identify capability gaps, manual bottlenecks, and integration failure points across systems including NetSuite, BlackLine, Kyriba, Fireblocks, and Lukka. • Benchmark current operations against best-in-class practices and emerging AI capabilities to build the Finance automation roadmap, prioritized by operational leverage and regulatory risk. • Work directly with accounting, FP&A, treasury, and finance operations teams to translate process pain points into buildable automation requirements. • Design the long-term architecture for an AI-native finance operating system. Define how agentic systems interact with financial infrastructure, data pipelines, and control and reporting frameworks. • Evaluate Kraken's existing finance systems stack from first principles, including platforms and the interfaces and data flows between them. Identify opportunities to simplify the stack, reduce manual intervention, and define a scalable target architecture. • Build an agentic finance layer that runs alongside the existing stack today, automating workflows while defining the migration path toward a more scalable, AI-native architecture over time. • Deploy production-grade agentic workflows that automate finance operations: reconciliations, close processes, audit and reporting preparation, treasury monitoring, financial analytics, and controls validation. • Build using modern AI tooling including Claude and Anthropic APIs, Python-based orchestration, n8n or equivalent workflow engines, and MCP or similar agent coordination layers. • Integrate internal and external systems by connecting APIs, data sources, and tools into unified automated workflows that deliver real operational leverage. • Maintain human oversight where appropriate. Design for auditability and control integrity, not just efficiency. • Establish guardrails that allow automation and agent behavior to operate safely in a SOX-regulated financial environment. Define which controls are maintained, which are redesigned, and how workflow scope preserves control integrity. • Create reusable frameworks, workflow templates, and documentation so that future Finance team members can safely build on top of the platform without relying on a single specialist. • Train finance professionals on AI-assisted tools and workflows deployed in production. Drive adoption and operational independence, not just delivery.