• Lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects • Contribute to technical pre-sales activities as required • Responsible for designing solution architecture, requirement definition, and leading the project delivery team • Work collaboratively across all Cyclotron’s sales, service delivery and project management organizations in service to Cyclotron’s clients

• Technical architecture, leadership, and design in collaboration with your development colleagues • Clean, covered, secure, and scalable API and UI code for our products developed using C#/.NET and Angular • Well-architected Azure resources managed using Terraform • Azure SQL Server schemas and designs that perform well and make efficient use of resources • Support solutions for tricky tier 3 issues raised by our customers • Effective communication with your teammates in daily SCRUM meetings and asynchronously in Slack

• Drive the early product discovery of a new area for Timely with some support from external PM, design, and business stakeholders. Coordinate and oversee work of these external stakeholders in the process. • Build initial prototypes and MVPs of the product end-end to prove value. • Establish & operationalize key decision processes and metrics to move forward with new product effort. • Drive key technical discovery and decisioning for any buildout. Rightsize our architecture and design early on to balance time to market and support for future iterations and integrations. • Engage with potential customers to engage with, provide feedback on, the product.

• Build and ship customer-facing product features from concept to production. • Use Cursor or similar AI coding tools daily to accelerate development, refactoring, testing, and iteration. • Design and implement AI-powered workflows, automations, and product features (including LLM integrations). • Partner closely with Product, Design, and Leadership to shape requirements and technical direction. • Own features and systems in production — including reliability, performance, and continuous improvement. • Make pragmatic architectural decisions that balance speed, scalability, and long-term maintainability. • Help define engineering best practices for an AI-first development culture. • Mentor teammates and raise the bar for product-focused engineering.