About Us

Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenes— screening, compliance, scheduling, and payments—so knowledge sharing stays focused on meaningful insights and real impact.

We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.

What we believe

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. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.

About the role

We're hiring a Growth Engineer to build the systems that bring people to Office Hours and help them get value quickly. You'll work across everything growth related: signup and onboarding flows, the experiments that tell us what's working, and the instrumentation that shows us where people get stuck.

We're a two-sided marketplace, so there are two funnels to improve. Organizations come to us looking for the right expert, and experts come to us to share what they know and get paid for it. Both sides have their own problems worth solving.

This role sits on the engineering team and works closely with marketing, product, and design. You'll be measured on whether the numbers move, and you'll have real latitude to decide what's worth trying.

We build with AI coding tools, and we want someone who's leaning into them, using them to prototype, iterate, and ship faster without compromising on quality.

What you'll do

Build and ship across our growth surfaces, including landing pages, signup and onboarding flows, and the paths that turn interest into activity on both sides of the marketplace

Run experiments end to end: set up the test, ship it, measure it honestly, and kill the ones that don't work

Build and improve the experimentation and feature-flagging infrastructure that makes those tests quick to run

Instrument the funnel so we can see where people drop off and why, and make that visible to the rest of the team

Build internal tooling and automations that make our growth and marketing work faster

Use AI coding tools to prototype and ship quickly, raising both velocity and quality

What you bring

You have 3+ years of professional software engineering experience and are comfortable working across the stack

You're tenacious and you move fast: when an experiment doesn't move the numbers, you figure out why and try the next thing

You take initiative: you spot opportunities, make the case for them, and see them through

You have experience with experimentation, A/B testing, or funnel instrumentation, or a real appetite to learn it

You're comfortable with SQL and product analytics, enough to find where a funnel is leaking without waiting on someone else

You embrace AI coding tools and use them to move faster without sacrificing quality

You work easily with marketing, product, and design, and you bring data to the question of what to try next

Tech Stack

Front end: TypeScript, React, Next.js, Tailwind, shadcn/ui

Back end: Node.js, TypeScript, MongoDB, OpenSearch, Temporal

Analytics and experimentation: Statsig, Amplitude, Metabase

Workflow: GitHub, Slack, Notion, Figma, Linear

Bonus Points

Experience with Statsig or similar experimentation and feature-flagging platforms

Experience with lifecycle messaging across email, in-app, and notifications

Experience with mobile app development on iOS or Android