Jobs at Compa

Lead development and operation of backend services and AWS infrastructure, focusing on Django/Postgres backends, reliability, scalability, CI/CD, automation, observability, incident response, and platform engineering to support AI/ML and data warehouse systems.

Own and ship full‑stack production software across Compa’s web app and backend. Lead architecture and technical decisions, integrate ML/AI into data workflows, mentor through code review, and collaborate with Product and Design to build enterprise features and data pipelines.

Own strategy, roadmap, and execution for Compa's AI agent platform. Conduct customer discovery, prototype and iterate with engineering and design, define success metrics, and deliver agent experiences emphasizing autonomy, trust, explainability, and control.

Owner of multi-cloud platform engineering: design, build, and operate Kubernetes platforms across AWS/GCP/Azure; drive cross-cloud identity, networking, data movement, and CI/CD; improve reliability, observability, and developer productivity; partner on roadmap and platform standards.

As a Forward Deployed Compensation Advisor at Compa, you'll advise customers on compensation strategies, drive product adoption, and enhance decision-making using AI-powered solutions.

The Customer Success Manager will mentor enterprise customers on AI Agents usage, drive onboarding, create customer success strategies, and enhance product adoption and value.

The Compensation Onboarding Analyst at Compa will assist customers with onboarding, data analysis, and deliver educational content while ensuring accurate compensation data mapping.

The Compensation Data Analyst ensures data accuracy and integrity for compensation insights, troubleshooting data issues, and collaborating with various teams to maintain data quality.

The Onboarding Manager will manage customer data integration into Compa's platform, ensuring quality and efficiency while optimizing onboarding processes and serving as a go-to support during implementation.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.