Quick facts
- Pay
- $70 / hour
- Type
- Contract
- Location
- Remote
- Hours
- 5–20 hours / week
- Platform
- Ethos — 210 open jobs
- Typical pay at Ethos
- $70–100/hour · median $80 (210 jobs on our site)
- Payout
- Wise
- Apply
- Free to apply — never pay to get AI training work
Pay
$70/hr
The rate in the listing.
?
From the Ethos listing, checked Nov 2.
Last checked
Today
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How Ethos hiring works
Your application is a 10-minute call.
Ethos's AI interviewer asks about your career, then matches you to projects like Customer Success Manager. 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
We're working with a leading foundational AI lab to find experienced enterprise customer success managers who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for CSMs with 4+ years running QBRs and executive business reviews for enterprise accounts to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: quarterly business review decks, renewal business cases, adoption and value realization exhibits, executive sponsor updates, and success plan presentations.
Compensation
$70/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 in enterprise customer success at a top company
Track record of building and delivering executive business reviews
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
About Ethos
Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.
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 Customer Success Manager background. These are our own practice questions for that work, not Ethos's.
How do you identify which customer accounts are at risk of churning before they actually show a decline in usage?
I track leading indicators rather than waiting for usage decline itself, like a drop in login frequency among key users, reduced engagement with newer features, or a change in the primary point of contact. By the time usage has visibly declined, the account is often already at significant risk, so the goal is catching the earlier signals that precede that drop.
How do you structure a customer success plan for a new enterprise account to ensure they realize value quickly after onboarding?
I define specific, measurable milestones tied to the customer's actual stated goals within the first 30, 60, and 90 days, rather than a generic onboarding checklist. Anchoring the plan to what the customer defined as success, not just product adoption metrics we care about internally, keeps the plan focused on outcomes that will actually drive renewal.
What metrics do you use to measure customer health beyond just product usage data?
I combine usage data with relationship signals like responsiveness to outreach, sentiment expressed in check-ins, and stakeholder engagement across the account, not just the primary contact. A customer can show healthy usage metrics while the actual relationship is fragile, particularly if the champion driving adoption is disengaged or has left the company.
How do you approach a renewal conversation with a customer whose usage has been declining but hasn't formally raised any complaints?
I'd proactively raise the usage decline myself rather than waiting for the customer to bring it up, since silence from a customer with declining usage often means disengagement rather than satisfaction. Framing the conversation around understanding what changed for them, rather than defending the product, usually surfaces the real issue before it hardens into a lost renewal.
See all 10 Customer Success Manager interview questions â
Skills and categories
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Common questions
Do I need to keep applying for projects on Ethos?
No. Once your profile is live, Ethos matches you to incoming projects from your career history, so companies find you rather than you applying listing by listing. Each completed engagement raises your Expert Score, which puts higher-value work in front of you.
How and when does Ethos pay experts?
Within 30 days of invoice submission after a project closes. That net-30 schedule is standard for enterprise expert networks, but it's slower than the weekly payouts some AI training platforms offer, so plan your cash flow around it.
How many hours a week is this Customer Success Manager work?
Between 5 and 20 hours a week. At $70/hr that is $350 to $1,400 a week. You set your own hours.
What experience does this Customer Success Manager listing ask for?
The listing asks for 4+ years in enterprise customer success at a top company; track record of building and delivering executive business reviews; 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 $70/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
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.
Ethos is an expert network backed by Andreessen Horowitz that uses an AI voice interview to learn about your experience and then matches you with paid opportunities, including AI training and evaluation projects.