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:
- An avid baseball collector with an early-stage investor conducting diligence on the collectibles industry.
- A specialized oncologist with a healthcare consulting firm.
- A software engineer with a mid-stage startup seeking feedback on what makes an exceptional developer sandbox experience for their new API.
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.
About this role
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.
Requirements
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.
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.
Workflow: GitHub, Slack, Notion, Figma, Amplitude, Storybook.
Front end (not required for this role): React, Next.js, Tailwind.
Nice to haves
You've built out data infrastructure from scratch, or nearly from scratch, at a fast-growing startup.
You’re based in the Bay Area and excited about joining our hybrid team a few days a week in downtown San Francisco (Soma, two blocks off of Market St).
Benefits and perks
Compensation: Competitive salary & stock options.
Healthcare coverage: Healthcare, dental, and vision insurance.
Time off: Flexible vacation time, regular company holidays.
Flexibility: Parent-friendly, remote-friendly, and paid family leave.
Productivity: New laptop and productivity tools.
Connection: Company retreats (Tahoe, Mendocino, Napa, San Diego, Mexico City, etc.) and team-building events (in-person and remote).
Additional perks: $100 monthly fitness stipend.
Our customers include leading consulting firms, venture capital firms, high-growth companies, and startups.
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-$200,000 based on seniority and relevant experience.
This is a hybrid role, in-office in San Francisco 2-3 times per week.
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!
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