Jobs at Cirql One

Own end-to-end product features for an enterprise semantic intelligence platform: define UX, build data extraction pipelines and semantic storage, integrate AI capabilities, make technical decisions, and collaborate with founders and design to ship polished, user-facing products.

Design, build, and own the platform that converts enterprise data into business-accurate semantic representations. Implement backend logic, schema design, APIs, data pipelines, versioning, and governance. Drive architecture decisions, integrate AI tools, deliver end-to-end features, and collaborate across engineering and product teams.

Own end-to-end product features across frontend, APIs, and backend; shape UX with founders and design; build semantic platform components (data extraction, semantic storage, versioning, governance); make technical decisions balancing long-term coherence and startup speed; embed AI capabilities and use AI tools across the development workflow.

Design and build scalable, data-intensive ABAP integrations and extractors; reverse-engineer legacy SAP logic to expose business meaning; develop reusable platform components; collaborate with platform and AI teams to make SAP data consumable for a semantic layer.

Own end-to-end product features from data models to UI. Shape product surfaces with founders and design. Build the semantic core that transforms enterprise data into governed, business-accurate meaning. Make principled technical decisions, integrate AI capabilities into the product, and collaborate across teams to deliver polished, performant user-facing systems.

Design and own a semantic platform that transforms enterprise data into business-accurate meaning. Build data extraction pipelines, backend logic, APIs, schema design, storage/versioning, governance, and integrate AI tools. Ship end-to-end features and shape long-term architecture while collaborating across teams.

Design, build, and own the platform that transforms enterprise data into business-accurate semantics. Deliver end-to-end features from schema design to backend, APIs, and frontend edges. Shape architecture, make principled technical decisions, and integrate AI tools into the development workflow.