About us
Office Hours is an online platform that lets users earn income by sharing what they know. Users create knowledge profiles to accept hourly consultation requests or survey opportunities based on their professional expertise. Companies and organizations seeking unique insights can search the Office Hours marketplace to quickly find and learn from thousands of advisors on demand.
What we believe
We believe that human knowledge is the world’s most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Office Hours’ mission is to help everyone realize the value of what they know by building tools for the knowledge-sharing economy.
Our team is headquartered in San Francisco and backed by top marketplace and business operators like Saar Gur, Marco Zappacosta, Lenny Rachitsky, Jackson Gates, and Aaron Levie. Our customers include the fastest-growing digital health companies, software startups, venture capital firms, and leading consulting firms.
Summary
Similar to Uber or Airbnb, things are simple on the surface: search, match, connect, and pay. But under the hood, there are endless fun and challenging engineering problems across search, discovery, recommendations, data, logistics, payments, and performance. 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 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 improve the precision, recall, and performance of our search and recommendation experience? How might we design internal services to best leverage our knowledge graph across the platform? How might we best architect clean, extensible, and composable APIs to accelerate development velocity?
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.
Responsibilities
- Build the backend for various user-facing features
- Improve the platform architecture and data model to provide a performant, reliable product experience
- Continuously improve engineering processes, tools, and systems that allow us to scale the code base, productivity, and team
- Enhance our analytics, monitoring, and alerts so that we can identify and respond to operational incidents
Qualifications
- You have 6+ years of software engineering experience
- You take pride in your craft and have a track record of shipping high-quality products and features at scale
- You have the ability to turn user and business problems into engineering solutions
- You’re a self-starter who embraces ambiguity, a fast-paced environment, and solving hard problems
Tech Stack
- Back end: Node.js, Typescript, MongoDB, OpenAPI, RabbitMQ, Elasticsearch
- Infrastructure: AWS, Kubernetes, Docker, Terraform, Kibana, Sentry
- Workflow: GitHub, Slack, Notion, Figma, Amplitude, Storybook
- Front end (not required for this role): React, Next.js, Tailwind
Bonus Points
- You've built out data infrastructure from scratch, or nearly from scratch, at a fast-growing startup
Our Benefits
- Competitive salary & stock options
- Healthcare, dental, and vision coverage
- $100 monthly fitness stipend
- Flexible vacation time, regular company holidays
- Company retreats (Tahoe, Maui, Mendocino, Mexico City)
- Parent-friendly, remote work, and paid family leave
Join our team and help everyone realize the true power of what they know!
Pay Transparency Notice
Full time offers from Office Hours also include target equity + benefits (including medical, dental, vision and 401(k)).
Pay range: $160,000-$210,000 based on seniority and relevant experience
San Francisco-based preferred (2-3 days per week in office). Open to NYC office-based or fully-remote for the right candidate.
Don’t meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours, we believe in building a diverse and inclusive workplace, so if you’re excited about this role but don’t meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!
Top Skills
What We Do
We're on a mission to help everyone realize the true value of their knowledge.
To do so, we're building the world's most advanced expert network platform.
Hundreds of the world's top venture capital firms, consulting firms, and startups leverage our platform to access perspectives from thousands of verified experts in technology, software and healthcare.
See how we serve our customers:
https://officehours.com/solutions/investors
https://officehours.com/solutions/startups