Staff Product Manager Expert

Business
Staff Product Manager Expert
Ethos
•
Remote
Education
Not stated
Type
Hourly
Pay Rate
$80/hr
Listed
38d ago
→
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 Staff Product Manager. Keep your CV open and cover these:
4+ years as a staff product manager at a top technology company
▍
4+ years as a staff product manager at a top technology company
Track record of presenting product strategy to executives and cross-functional teams
▍
Track record of presenting product strategy to executives and cross-functional teams
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention
▍
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention
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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 staff product managers who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for staff product managers with 4+ years shipping products and presenting strategy, roadmaps, and reviews to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: product strategy decks, roadmap presentations, product review documents, launch readiness decks, executive check-ins, and OKR review materials.

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 staff product manager at a top technology company
Track record of presenting product strategy to executives and cross-functional teams
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.
Key Requirements
4+ years as a product manager at a top technology company
Track record of presenting product strategy to executives and cross-functional teams
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
How long hiring takes
Across the platforms we work with, people typically hear back about a hire within

about

30 days
of being referred.
Some are quicker, some take longer.
Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%
Why this role
Few outlets pay Business specialists what the leading AI labs pay for direct judgment. At $80/hr, this Staff Product Manager Expert role prices in the expertise itself, separate from hours billed or clients managed.
Talent pool
We're light on Business candidates
We've matched 55 people with a Business background against 1035 Business listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
Set up your profile
Skills and categories
Explore other opportunities in related specializations:
Business
No Degree Required
Expert
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Common questions
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.
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Business work look like for a Staff Product Manager Expert?
Tasks here are scoped to Business, not generic labeling. As a Staff Product Manager Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Business) rather than following a one-size-fits-all rubric. If you don't have hands-on Business background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $80/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?
You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who built Ethos and is it legitimate?
Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.