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San Francisco, California, United States
Onsite
Please note: This role is based in San Francisco, in our office 3 days per week.
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.
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.
We're hiring a Business Operations Associate to work on the most important problems at Office Hours. You'll report to our Business Operations Lead, partner with every part of the leadership team, and swarm wherever the company needs you most.
Your first tour of duty is our revenue engine: the core expert-network business that funds everything else. After that, the work follows the company's biggest problems.
This role is for a top-performing former consultant or operator who is AI-native, has the presence to work directly with leadership, and wants to build things rather than advise on them.
Your first projects:
Build our RevOps function. Own how Client Solutions and Sales set goals, track performance, and run the business: the weekly book-of-business and pipeline reviews, the CRM, and reporting people actually use. When we ship new tools, build the materials and drive adoption.
Build our first business analytics function. Give the leadership team the commercial insight it needs for planning, offsites, and strategy. Go from raw data to a recommendation, then help execute it.
Run the business AI-natively. Find the rote work across every team and automate it, so we scale output, not headcount. Help us redesign how we structure our teams and our information ecosystem to “master the material” of AI.
Design incentives, pricing, and margin. Partner with Finance on comp plans, pricing, and discounting that tie team performance to company goals.
Own renewals. Usage reporting, QBRs for our largest clients, and a renewal and upsell plan for every key account.
Launch what's next. Market research, TAM sizing, and new product and market launches. Turn early traction into a repeatable process.
AI-native. You are pushing the forefront of AI usage wherever you work, and are excited to continue pushing the frontiers of using AI for operations. (example). You are a tinkerer and experimenter - you know when something is a cool experiment vs. something you need to scale to the entire company. You move faster without outsourcing your taste, and you know slop when you see it.
Curiosity. You’re relentlessly curious about the problems in front of you and the world around you. You bring ideas from parallel domains to bear on hard problems, and you love reasoning by metaphor and analogy.
Low ego, high ownership. You'll run a planning review one hour and fix a broken tracker the next. When a process doesn't exist, you build it. (More on what we mean: Heat Seeking Missile for Pain, Barrels vs. Ammunition, Be Relentlessly Resourceful)
Structured and rigorous. You break messy questions down, get to a recommendation, and change your mind when the data says so. You're comfortable going 0→1 with limited direction.
Strong analytical chops. Data-driven thinker, structured problem solver. You know SQL, or you're eager to master it.
Commercial instinct. You reason quickly about strategy, and you understand what makes salespeople tick and how to align incentives.
Executive presence. You're as at home presenting to the leadership team as you are debugging a data issue with engineering, and you know when to go deep and when to stay high-level.
2–4 years in management consulting, investment banking, or an analytically rigorous role (strategy & operations, analytics, data science) at a high-growth company.
A B2B marketplace, professional services firm, or expert network
Owning an operating cadence (operating review, planning, OKRs) and making it better each cycle
Account management, renewals, or QBRs
CRM (Attio or similar) and BI tools (Metabase, Tableau, Omni)
Competitive salary and equity
Medical, dental, and vision coverage
401(k)
Monthly wellness and fitness stipend
Paid time off policy, along with company holidays
Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)
Remote work flexibility
Paid parental leave (12 weeks of fully paid bonding leave, and birthing parents get 8–10 additional weeks of paid recovery leave)
Pay Transparency Notice
Full-time offers include base salary, equity, and benefits.
Pay range:
Base Salary: $90,000 – $120,000
Bonus: $20,000 – $50,000
Based on seniority and relevant experience.
This role is based in San Francisco, in our office 3 days 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!