• Design, develop, maintain, and troubleshoot data integration pipelines and workflows that support organizational data needs and align with broader company goals • Investigate and resolve complex data issues by using SQL and internal tools to validate imports, analyze transformation logic, and ensure data fidelity within Ellevation’s platform • Evaluate data sources and integration requirements to determine effective technical solutions, applying sound judgment within established processes and procedures • Communicate technical data issues clearly to non-technical stakeholders, translating findings into actionable insights and next steps • Own assigned projects and tasks independently by proactively managing timelines, adapting to shifting priorities, and escalating blockers or risks when needed • Build collaborative relationships across teams and contribute to cross-functional initiatives by actively learning how integration work connects to broader company operations • Contribute to team knowledge-sharing efforts through clear documentation of integration processes, data flows, troubleshooting steps, and technical decisions • Participate thoughtfully in team discussions by asking informed questions, sharing insights, and exercising good judgment in collaborative settings

Role Description The Technical Solution Architect will design and validate AI-native architectures, lead technical engagements, and provide cutting-edge insights to support presales and delivery success. This role combines hands-on technical expertise with strategic collaboration to accelerate adoption of AI-native engineering practices. Responsibilities: - Architecture & Solution Design - Lead presales architecture design and proof-of-concept (POC) initiatives for AI-native solutions. - Create reusable solution templates and reference architectures, including labs in WWT’s AI Proving Ground. - Ensure successful handoff of solutions to delivery teams. - Technology Integration - Design AI-native engineering patterns across major cloud platforms (Azure, AWS, GCP). - Guide integration of AI tools into SDLC and DevOps pipelines for clients. - Research & Competitive Intelligence - Conduct deep research on AI-native tools and frameworks to determine best fit for customer environments. - Produce formal reports and actionable insights for leadership and presales teams. - Collaboration - Partner with AI Advisors, Business Development Managers, sales account teams, and delivery-focused solution architects on client-facing engagements. - Participate in internal enablement and training sessions as needed. - Performance & Impact - Deliver POCs that influence opportunities and closed deals. - Create technical artifacts that support enablement and presales success. - Contribute to internal knowledge-sharing and best practices. Qualifications - Minimum 2 years in solution architecture or presales engineering, or equivalent customer-facing technical leadership experience. - High comfort level with AI/ML concepts and tools; ability to stay on the cutting edge of emerging technologies. - Hands-on experience with AI frameworks and architecture design, specifically with AI Coding Assistants (Cursor, Github, Windsurf, etc). - Strong knowledge of cloud platforms (Azure, AWS, GCP) and integration patterns. - No certifications required. - Ability to simplify complex technical concepts for diverse audiences (preferred). - Strong presentation skills for client workshops and technical discussions (required). Requirements - Limited travel (10–20% annually) for client engagements and POCs. - No location restrictions. Benefits - Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program. - Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement. - Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement. - Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program.

• Own and facilitate the Architectural Advice Forum (AAF). • Personally build production-grade Proofs of Concept. • Partner with the CTO on AI strategy. • Own cross-cutting standardisation across backend, web and mobile engineering. • Define and uphold the engineering quality bar across backend, web and mobile. • Embed Security-First Architecture across everything we build. • Champion Domain-Driven Design and Event-Driven Architecture. • Work closely with the SRE team on reliability and observability. • Coach and mentor engineers across SATs, platform and enabling teams. • Surface and unblock systemic technical risks, technical debt and cross-team dependencies. • Maintain Xapo’s engineering principles and Tech Radar. • Build a great place to work for talented and motivated people.

• Be part of the Sales team collaborating daily with customer success, product marketing, and product teams. • Engage with CISOs to address challenges in perimeter security, external attack mitigation, and real-time fraud management. • Collaborate with fraud teams under the CISO, ensuring Cleafy’s cyber-first approach aligns with fraud risk management strategies. • Report key market insights and customers’ feedback to the Product and Marketing team. • Lead technical discovery calls, solution demonstrations, and Proof-of-Concepts (PoCs), showcasing how Cleafy integrates with enterprise security infrastructure (SIEM, SOAR, IAM/CIAM, WAF, TXM, etc.). • Lead Technology Deep Dive meetings with customers, working in tight connection with Product Specialists. • Represent Cleafy at key industry events, security roundtables, and expert discussions with CISOs, fraud leaders, and security professionals. • Support Cleafy’s value proposition fine-tuning across regions, working tightly with Product and Marketing teams. • Contribute to RFI/RFP responses, security assessments, and technical discussions that drive customer confidence.