Rogo

Own the design and implementation of Rogo’s cloud security architecture across AWS and GCP. This hands-on role combines secure systems design, Terraform automation, identity and network architecture, Kubernetes security, and technical leadership.

Build the financial data infrastructure powering Rogo’s AI platform, from ingestion and transformation to reliable, low-latency data serving. This backend role combines large-scale data engineering, distributed systems, and financial-domain expertise.

Lead the technical direction of Rogo’s Kubernetes-based platform as it scales to support 10x+ enterprise customer growth. This hands-on role focuses on platform reliability, infrastructure systems, developer tooling, and scalable enterprise workloads.

Rogo is hiring a Full-Stack Software Engineer to build major product features for an AI platform serving leading financial institutions. The role spans frontend and backend development, from architecture and implementation through launch, with a strong focus on LLM-powered user experiences.

Build scalable backend systems at Rogo, powering AI-driven crawling, ranking, retrieval, and enterprise finance workflows. You’ll own high-performance APIs and distributed infrastructure used by sophisticated financial institutions.

Lead the creation of Rogo’s first native Android application from a blank canvas, defining its architecture, engineering standards, and user experience for AI-powered financial workflows. This role offers end-to-end ownership and the opportunity to establish the foundation for a future Android team.

Build backend services, data integrations, and AI-powered agents that automate Rogo’s internal operations and customer lifecycle. You’ll own systems end to end and help bring production-grade automation to a fast-growing enterprise AI company.

Build and own the systems layer powering Rogo’s revenue engine, including Salesforce, quote-to-cash, customer lifecycle operations, and an expanding GTM technology stack. This builder-operator role also develops AI agents, scoring models, integrations, and controls that make GTM operations more reliable and measurable.