• Enable strategic and premium clients to execute their projects successfully through high-touch operational execution, product guidance, and workflow coordination • Build trusted operational relationships primarily with the deal execution team, while maintaining credibility with other stakeholders when required • Guide clients during onboarding, project launch, migrations, and other critical project phases • Run regular check-ins with the client team and internal sales account owner to surface early warning signs early, before they escalate • Use AI-assisted and conventional tools to proactively identify risks, errors, or friction points before they surface as client-reported issues • Advise clients on best-practice setup, permissions, workflows, governance structures, Q&A processes, reporting, and user management • Investigate clients' issues, identify root causes rather than symptoms, and resolve hands-on or propose practical workarounds • Perform operations within the data room: user invitations, permissions setup, redaction, translation, migrations, exports, Q&A configuration, and so on directly or by coordinating the Professional Services team • Coordinate with Sales, Product, Customer Support, Legal, Security, Professional Services, and Operational teams to resolve client-critical matters efficiently • Ensure accurate documentation of client requests, actions, decisions, escalations, and follow-up items • Share recurring issue patterns, workarounds, and best practices with Customer Support, Sales, and Product teams • Contribute to retention and expansion outcomes indirectly by improving client experience, product adoption, operational confidence, and trust in Ideals

• Design and build greenfield REST or GraphQL APIs in Go that are secure, performant, versioned, and well-documented. • Establish and own the API as the integration layer and transitional architecture for Sharetec's Core modernization initiative. • Design and build complex scalable workloads supporting modern API standards and deployments (Docker, OAuth2/2.1, JWT, OpenAPI/Swagger, Terraform, etc.). • Define API design standards, contracts, and shared libraries that other teams can reuse. • Evaluate and recommend tooling and frameworks that improve developer productivity and integration reliability. • Design the data-normalization layer that maps between new services and the existing data schema. • Build the central integration hub that ties several distinct systems together through a common normalization model. • Partner with core processing engineers to ensure integration contracts remain aligned with the platform of record as it evolves. • Ensure data integrity, observability, and graceful failure handling across all integration endpoints. • Mentor and coach mid-level and junior engineers on API and integration design. • Lead design discussions and code reviews; promote a culture of clear communication and shared ownership. • Translate business and product needs into technical solutions alongside product managers and QA. • Contribute to documentation, internal tooling, and process improvements that make the whole team faster and better.

• Partner with enterprise customers to understand their business challenges, workflows, and AI transformation goals. • Conduct discovery workshops, technical assessments, and solution design sessions to identify high-impact AI opportunities. • Advise customers on AI strategy, implementation roadmaps, and best practices for enterprise AI adoption. • Translate complex business requirements into scalable AI solutions aligned with customer objectives. • Design end-to-end AI solution architectures using Aion's enterprise AI platform. • Create scalable, secure, and production-ready architectures for AI applications, intelligent agents, automation workflows, and enterprise integrations. • Define technical solution blueprints covering infrastructure, data flows, APIs, security, and deployment strategies. • Collaborate closely with engineering teams to ensure successful implementation of customer solutions. • Lead technical solution delivery from proof of concept through production deployment. • Work alongside customers during implementation, ensuring successful integration with existing enterprise systems. • Support solution validation, performance optimization, testing, and production readiness. • Resolve technical challenges and recommend architecture improvements throughout project execution. • Partner with Product, Engineering, AI, Customer Success, and Sales teams to continuously improve Aion's platform and customer experience. • Provide customer feedback that influences product roadmap and platform capabilities. • Support technical demonstrations, solution workshops, RFP responses, and executive presentations. • Develop reusable architecture patterns, reference implementations, and best practices for enterprise AI deployments. • Stay current with advancements in AI, Large Language Models, agentic AI, cloud infrastructure, and enterprise software. • Represent Aion at customer meetings, industry events, and technical workshops. • Contribute to solution playbooks, architecture documentation, and technical enablement materials. • Help establish Aion as a trusted advisor in enterprise AI transformation.

• Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage a deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, DBT, and/or other services and tools in designing and enhancing these solutions. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks to mature and improve our customer’s data platform. Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customer’s data platform and service offering.