
51 - 200 employees
Founded 2020
⚡ Productivity
☁️ SaaS
Productivity • SaaS
Laurel is a company that offers a digital timekeeping solution, enabling users to manage and track their time efficiently. The platform provides a streamlined timekeeping experience through an easy-to-use interface, accessible via signing into their service.
🔥 0 minutes ago
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51 - 200 employees
Founded 2020
⚡ Productivity
☁️ SaaS
Productivity • SaaS
Laurel is a company that offers a digital timekeeping solution, enabling users to manage and track their time efficiently. The platform provides a streamlined timekeeping experience through an easy-to-use interface, accessible via signing into their service.
• Work directly with customers and Laureates to understand operational workflows, constraints, and technical environments • Design and implement production-grade solutions across backend services, orchestration layers, integrations, and internal tooling • Write high-quality code across the stack — typically TypeScript, APIs, data pipelines, and cloud infrastructure • Own deployments end-to-end: discovery, architecture, implementation, testing, rollout, monitoring, and iteration • Debug complex issues across customer systems, infrastructure, authentication, APIs, and data pipelines • Collaborate closely with Product and Core Engineering to turn field learnings into reusable platform capabilities • Rapidly prototype new functionality while maintaining strong engineering judgment around scalability and maintainability • Translate ambiguous customer needs into clear technical plans and execution paths • Help customers operationalize AI safely and effectively in real production environments • Help accelerate the implementation team’s efforts to reduce time to impact for customers.
• Have 4+ years of experience building production software systems • Are comfortable moving across backend, infrastructure, integrations, and customer environments • Can independently architect and ship complex systems with minimal oversight • Have experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications • Have worked with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems in production • Thrive in ambiguous environments where requirements evolve quickly • Can communicate clearly with both engineers and non-technical stakeholders • Care deeply about speed, iteration, and customer impact • Are excited to work directly with customers and own outcomes, not just tickets
• Great employee benefits, including equity and 401K • Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team • Opportunities to perform at your best while growing • Making a meaningful impact on the company's trajectory • Inclusive culture encouraging unique perspectives
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