Remesh

Our product organization is split into three teams related to a discrete feature set of our platform. Each team includes 2-3 engineers, 1-2 designers, and a product manager. In addition to the product teams we have a platform engineering team that includes dev ops and security and an R&D team that is focused on AI and Machine Learning research for future product features.

Our teams operate on two week sprints with team members directly involved in feature planning, discovery and prioritization.

Despite the discrete separation of aspects of the product organization, we have a relatively flat hierarchy. Anyone on any team is encouraged to provide feedback, ideas, and otherwise involve themselves in any aspect of the engineering organization. Regardless of what team we're on, we help each other solve problems, learn new things, and improve.

• We are a small company that faces some of the technical challenges common to very large companies.
• We regularly deal with scalability issues due to the high volume nature of our live sessions.
• We work hard to improve the performance of our statistical and machine learning models.
• We are always reevaluating our architecture and design decisions to make sure we're using the right tools for the job, while being sensitive to maintainability.