Say hello to timekeeping with a money-making co-pilot.Boost your firm's profitability with Laurel. Our thoughtfully designed timekeeping solution, with real AI, turns every minute worked into clear, actionable billing and insight. Make financially sound decisions with ease, predict trends, and navigate your firm's future with confidence.Today, leading legal and professional services firms are shifting the timekeeping paradigm with Laurel, eliminating the burden of manual approaches, lifting revenue, and advancing the future of work. Laurel has raised over $55MM in funding from world-class investors including Acme Capital, Anthos, Upfront Ventures, First Round Capital, Initialized Capital, BoxGroup, and Ulu Ventures. Laurel (previously Time by Ping) was also named as 100 Top Startups of 2020 by Business Insider.

Laurel 

Backend Engineer

Staff Software Engineer to build AI-driven time tracking solutions.

• Architect and Develop: Design, build, and maintain efficient, reusable, and reliable code.
• Collaborate: Work closely with cross-functional teams to gather requirements and deliver high-quality software.
• Optimize: Identify bottlenecks and bugs, and improve performance and security.
• Mentor: Provide technical guidance and mentorship to junior developers.
• Innovate: Stay up-to-date with latest trends and proactively suggest improvements.
• Test and Deploy: Implement automated testing and CI/CD pipelines.
• Connect: Engage with product and users.

Staff Software Engineer - Backend

Develop and manage infrastructure tools for improving reliability and automation.

• Laurel’s infrastructure team is lovingly named the Time Owls, and they are out to make Laurel’s infrastructure more reliable, secure and easy to use
• Our team builds and maintains tools that enable our engineers to work with AWS, Kubernetes and other services easily and safely
• We contribute to all applications in the company, and act as both best practice advocates and policy enforcers

Staff Platform Engineer

Data Scientist

Analyze data and build machine learning models for timekeeping automation.

• Analyze data and create actionable analytics delivered to customers
• Explore and visualize data to understand its quality and identify differences
• Build powerful machine learning models
• Apply system-level strategic thinking for machine learning adaptations
• Coordinate with software engineering, product, and design teams
• Handle and format large quantities of raw, unstructured, and noisy text data
• Drive project completion for new architecture and model deployment
• Maintain updated models and training pipelines

Full-stack Engineer

• Architect and Develop efficient, reusable, and reliable code across frontend and backend components
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Optimize performance, scalability, and security of applications
• Provide mentorship to junior developers
• Stay up-to-date with industry trends and technologies
• Implement automated testing and CI/CD pipelines

Senior Software Engineer - Full Stack

Product Manager

• Building the next generation of AI tools to help teams sanctify time
• Innovate and execute product initiatives by working with cross-functional teams
• Own end-to-end product surface area, responsible for strategy, execution, and delivery

Laurel Jobs in New York City