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The HR Generalist will manage onboarding, employee relations, benefits administration, compliance, and HR reporting while improving HR processes.

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.

Lead product-layer security: perform architecture and threat reviews, define secure SDLC and standards, build security tooling and automation, operationalize AI security patterns, prototype security implementations, and advise engineering on risk and architecture while contributing to incident response.

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

Develop and maintain software for Compa's compensation platform, including backend and frontend systems. Collaborate with product and design teams to enhance features and contribute to architecture decisions.

As a Software Engineer at Compa, you will develop and enhance the SaaS platform for compensation intelligence, collaborating across teams to improve system architecture and user experiences.

Support FP&A workflows including budgeting, forecasting, and KPI tracking. Build financial models and decision frameworks, partner with cross-functional leaders on resource allocation, optimize expenses with engineering, run analyses on growth, pricing, and unit economics, contribute to board and investor materials, and support financial operations such as invoicing, billing, taxes, and collections while improving finance systems and reporting.