Jobs at Checkbox

Design, architect and implement high-performance, scalable backend services in Golang. Build and maintain event-driven systems supporting AI-first, agentic workflows. Contribute via design and code reviews, champion best practices, and ensure a production-ready, performant codebase.

Lead data strategy and architecture for AI-native SaaS, building secure, tenant-isolated context and retrieval layers, data platform, integrations and eventing. Define data contracts, models, and observability; make buy-vs-build decisions; mentor and grow a small Data team; partner with Product, Engineering, AI and Platform to enable reliable agentic AI features and compliant data access.

Lead and scale Revenue Operations for a B2B SaaS startup: own GTM tech stack and CRM, build processes and playbooks, run data-driven experiments, partner with Finance and GTM Engineering, build AI automations, manage cross-functional projects, and drive measurable revenue outcomes.

The Product Manager will oversee AI-driven product experiences for legal workflows, collaborating with cross-functional teams to enhance user interactions with AI technologies, ensuring intuitive and trustworthy solutions.

The Senior Software Engineer will build AI-powered user experiences, develop frontend and backend services, and integrate AI capabilities into legal workflows, while mentoring engineers and ensuring strong engineering standards.

The Senior Customer Success Manager will partner with enterprise legal teams, guiding them from adoption to growth, ensuring successful integration of Checkbox into their legal workflows, managing retention and expansion of accounts, and leveraging data for proactive engagement.

The role involves executing data-driven multi-channel marketing campaigns, ABM strategies, and pipeline generation to improve conversion rates and drive revenue, requiring deep collaboration with Sales and expertise in marketing tools.