As Head of Product Engineering, you will lead the engineering team, shape technical strategy, mentor engineers, and drive product evolution while collaborating across functions.

As a Senior DevOps Engineer, you'll build and maintain infrastructure, manage CI/CD pipelines, ensure security and compliance, and enhance developer experience in a fast-paced environment.

The Senior Platform Engineer will maintain cloud infrastructure, manage CI/CD pipelines, ensure security compliance and improve developer experience.

The Financial Controller will manage financial operations, including payroll, treasury, and financial reporting, while overseeing a team and ensuring audit readiness.

Seeking a highly organized Executive Assistant to support the COO and CTO, focusing on task management, scheduling, travel coordination, and meeting preparation in a fast-paced environment.

The Machine Learning Engineer will develop AI-driven features, deploy scalable systems, and enhance reliability while collaborating with teams to integrate AI solutions.

We seek a Senior Product Designer to own UX for our AI products, collaborating with teams to ship high-quality interfaces quickly. Strong design skills in Figma and coding are essential.

As a Staff Full Stack Engineer, you'll build features and products leveraging modern tech across the stack, resolve technical issues, and maintain code quality while leading hiring and providing technical guidance.

As a Senior Full Stack Engineer at Lawhive, you will build innovative products, resolve technical issues, and drive user delight, working with a collaborative team.

The role involves building customer-facing websites and funnels, running experiments and analytics to support growth in the US market.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

As the first QA Engineer, you'll shape the QA function at Lawhive, improve testing infrastructure, and ensure high software quality, especially for AI applications.

Lead QA for an AI-first product: design testing infrastructure, build and maintain test suites/pipelines, collaborate with product, engineering and legal users, define quality metrics, runbooks and monitoring to prevent regressions.