Jobs at Qodo

Support product team with product-usage analytics, build and maintain modeled data layers and dashboards, run deep-dive analyses to inform product decisions and experiments, measure conversion/retention/churn and unit economics, and translate findings into clear recommendations for non-technical stakeholders.

Partner with US managers on org design, hiring, performance, and employee relations. Own full-cycle US recruiting and build structured hiring processes. Design and run People programs (onboarding, manager enablement, performance, engagement). Ensure compliant US People operations and payroll coordination. Identify and implement AI and automation opportunities across HR and recruiting workflows.

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.

Lead design and implementation of MCP servers, APIs, SDKs, and cloud marketplace integrations. Translate partner asks into concrete integration plans, ship production integrations, own docs/SDKs/API DX, and create a repeatable integration playbook to scale partner integrations.

Own the top of the sales funnel through outbound prospecting and inbound qualification. Conduct discovery conversations, assess fit and intent, and hand off qualified opportunities to Account Executives. Use sales tools and collaborate with Marketing and Sales Enablement to refine messaging and grow pipeline.

Own and execute enterprise on-prem/cloud Kubernetes deployments inside customer-managed environments. Troubleshoot unfamiliar systems, write Python/Bash diagnostics, codify IaC (Terraform, Helm), support customers during onboarding, and maintain reliability of PostgreSQL, Redis, networking, and storage.

Own end-to-end enterprise on-prem/cloud Kubernetes deployments inside customer-managed environments. Troubleshoot unfamiliar systems, write Python/Bash diagnostics, codify IaC (Terraform, Helm), liaise with client engineering, and ensure reliability of PostgreSQL, Redis, networking, and storage components.

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.

Lead full-cycle technical recruiting for Engineering, Product, and GTM roles; partner with hiring managers; build pipelines; manage interviews and offers; improve processes using data and AI; contribute to employer branding and People initiatives.