At Office Hours, we’re on a mission to help people realize the value of what they know.
We’re making it easy for professionals to share and earn from their knowledge, insights, and expertise. How do we do this? In short, we’re a consulting platform. We connect clients (knowledge seekers) with advisors (knowledge holders) over short 15-60 minute virtual consultations or async surveys.
In order to facilitate these exchanges, we’ve built the entire stack from the ground up. Profiles to showcase what people know. Search experiences to find and discover relevant matches. Workflow tools and integrations to help streamline logistics (e.g., compliance, scheduling, payments, etc). Even an underlying knowledge graph that helps stitch all of these experiences together. We’re doing for professionals what Airbnb has done for homes, Uber has done for cars, and Shopify has done for businesses—giving them a storefront.
Examples of connections we may make on any given day:
Join us in helping build a platform that makes knowledge-sharing easily accessible and infinitely scalable. Everyone’s an expert; they just don’t know it yet.
We’re specifically looking for an experienced backend engineer. They’re likely a generalist with a lean towards data platform or data engineering experience. As our company's growth has accelerated, so have our data opportunities and challenges.
How might we model ontologies of what people know? How might we design a system that provides foundational services to leverage our knowledge graph across the platform? How might we architect our data to serve multiple sources (platform, analytics, etc.) while maintaining performance?
Our ideal candidate is excited about building systems for data collection, processing, storage, and retrieval and is passionate about making these systems observable, reliable, scalable, and highly automated.