Business Operations Lead Expert

Pay

$80/hr
The rate in the listing.
?
From the Ethos listing, checked Nov 4.
Listed
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Ethos's AI interviewer asks about your career, then matches you to projects like Business Operations Lead. Keep your CV open and walk through the roles and skills that fit this work.
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About this role
From the Ethos listing
About This Opportunity
We're working with a leading foundational AI lab to find experienced business operations leads who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for business operations leads with 4+ years supporting C-suite executives at significant companies to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: board meeting decks, executive offsite materials, all-hands presentations, strategic planning documents, QBR packages, and CEO communication drafting.

Compensation

$80/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP

Qualifications

4+ years as a business operations lead supporting C-level executives
Track record of owning board decks and executive communications end to end
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
Key Requirements
4+ years as a chief of staff or BizOps lead supporting C-level executives
Track record of owning board decks and executive communications end to end
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
How long hiring takes
Across the platforms we list, people typically hear back about a hire within

about

25 days
of applying.
Within 2 weeks
~30%
Within 6 weeks
~65%
Within 3 months
~85%
Prepare for the Ethos call
Ethos's AI interviewer asks about your Business Operations Analyst background. These are our own practice questions for that work, not Ethos's.
How do you identify which operational process is the highest priority to improve when several teams claim their process is the biggest bottleneck?
I quantify each candidate process by its actual downstream impact, like cost, cycle time, or error rate, rather than relying on how loudly a team advocates for it. A process that feels painful to the people running it manually isn't necessarily the one causing the most business impact, so the data has to settle the prioritization, not the volume of complaints.
What's your approach to measuring whether a process improvement actually worked after it's been implemented?
I define the success metric and baseline before the change goes live, not after, since retroactively picking a metric that happens to look good is a common bias. I also give the change enough time to stabilize before measuring, since a short-term dip or spike right after a process change often doesn't reflect its steady-state impact.
How do you approach root cause analysis when an operational metric degrades but multiple factors changed around the same time?
I isolate variables where possible by comparing segments that only experienced one of the changes, rather than trying to reason about all the changes at once. When that's not feasible, I rank the candidate causes by plausibility and evidence, and I explicitly avoid declaring a root cause until the data actually supports it over the alternatives.
What tools or methods do you use to map and analyze a complex, cross-functional process?
I build a process map that traces the actual path work takes across teams, including handoffs and wait times, not just the idealized version documented somewhere. Time studies or system timestamps at each handoff point reveal where delay actually accumulates, which is usually different from where people assume the bottleneck is.
See all 10 Business Operations Analyst interview questions →
Skills and categories
More jobs in these fields:
Generalist
No Degree Required
Business & Strategy
Strategy & Operations
Generalist Tasks
Customer Support & Ops
Expert
AI Training
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Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.
Do I need to keep applying for projects on Ethos?
No. When your profile is live, Ethos matches you to new projects from your career history, so companies find you. Each finished project raises your Expert Score, which brings you better-paid work.
How many hours a week is this Business Operations Lead work?
Between 5 and 20 hours a week. At $80/hr that is $400 to $1,600 a week. You set your own hours.
What experience does this Business Operations Lead listing ask for?
The listing asks for 4+ years as a business operations lead supporting C-level executives; track record of owning board decks and executive communications end to end; and expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail. Ethos's interviewer builds your profile from your CV, so have the roles that show this ready to talk through.
How much does this specific role pay?
This listing is posted at $80/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
The link opens Ethos's sign-up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.