Jobs at Qodo

Manage sales operations for a fast-growing B2B SaaS company. Responsibilities include administering HubSpot, automating workflows, managing forecasting, territories, quotas, commissions, pipeline reporting, lead routing, attribution, and sales technology. The role analyzes usage and billing data, builds risk-adjusted forecasts, improves deal processes, supports pricing and CPQ workflows, enables new reps, and partners with sales, marketing, finance, and executive leadership.

Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.

Embed with enterprise customers to deliver on-prem and air-gapped deployments, diagnose and remediate production issues, build customer-specific extensions, upstream solutions into product, and codify playbooks to scale field engineering.

Design, develop, implement, and test algorithms and LLM-enabled solutions; collaborate with product and engineering teams; research new techniques; build benchmarks and lead algorithm development to improve product performance and scalability.

Own product lifecycle for AI developer tools, conduct customer discovery, define requirements, collaborate with engineering and design, enable sales, run experiments and metrics, drive cross-functional launches, and advocate for developer workflows.

Build developer-first integrations and backend systems, own projects end-to-end, drive architecture and engineering practices, mentor teammates, and collaborate globally to integrate AI coding assistants into developer workflows.

Design, implement, and maintain backend features end-to-end for a scalable AI-driven SaaS platform. Debug complex production systems, collaborate with product and engineering, ensure performance, reliability, and code quality, and leverage modern AI tools to improve development and review workflows.